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A Survey on Data-driven Software Vulnerability Assessment and Prioritization
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Exploitability prediction of software vulnerabilities
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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Automated Classification of Attacker Privileges Based on Deep Neural Network
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Embedding and Predicting Software Security Entity Relationships: A Knowledge Graph Based Approach
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Automated CPE Labeling of CVE Summaries with Machine Learning
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ThreatZoom: Hierarchical Neural Network for CVEs to CWEs Classification
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Automated Extraction of Vulnerability Information for Home Computer Security
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Factors Impacting the Effort Required to Fix Security Vulnerabilities
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Associating the Severity of Vulnerabilities with their Description
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A Study on the Classification of Common Vulnerabilities and Exposures using Naïve Bayes
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Automatic Vulnerability Classification Using Machine Learning
inferredcites →https://doi.org/10.1007/978-3-319-92624-7_1openalex-snapshot
Review into State of the Art of Vulnerability Assessment using Artificial Intelligence
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Patch Before Exploited: An Approach to Identify Targeted Software Vulnerabilities
inferredcites →https://doi.org/10.1007/978-3-319-99133-7_22openalex-snapshot
Toward Validation of Textual Information Retrieval Techniques for Software Weaknesses
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Applying Deep Learning for Discovery and Analysis of Software Vulnerabilities: A Brief Survey
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Severity Prediction of Software Vulnerabilities Using Textual Data
inferredcites →https://doi.org/10.1007/s10994-019-05855-6openalex-snapshot
A survey on semi-supervised learning
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The effect of Bellwether analysis on software vulnerability severity prediction models
inferredcites →https://doi.org/10.1007/s13198-020-01021-7openalex-snapshot
Software vulnerability prioritization using vulnerability description
inferredcites →https://doi.org/10.1007/s40484-016-0081-2openalex-snapshot
Performance measures in evaluating machine learning based bioinformatics predictors for classifications
inferredcites →https://doi.org/10.1007/s41019-016-0019-8openalex-snapshot
Time for Addressing Software Security Issues: Prediction Models and Impacting Factors
inferredcites →https://doi.org/10.1007/s41060-017-0091-9openalex-snapshot
Analyzing evolving stories in news articles
inferredcites →https://doi.org/10.1016/0169-7439(87)80084-9openalex-snapshot
Principal component analysis
inferredcites →https://doi.org/10.1016/j.array.2019.100011openalex-snapshot
A survey on vulnerability assessment tools and databases for cloud-based web applications
inferredcites →https://doi.org/10.1016/j.compeleceng.2013.11.024openalex-snapshot
A survey on feature selection methods
inferredcites →https://doi.org/10.1016/j.cose.2008.04.002openalex-snapshot
Standardising vulnerability categories
inferredcites →https://doi.org/10.1016/j.cose.2020.101751openalex-snapshot
A vulnerability analysis and prediction framework
inferredcites →https://doi.org/10.1016/j.eswa.2016.09.009openalex-snapshot
Turning from TF-IDF to TF-IGM for term weighting in text classification
inferredcites →https://doi.org/10.1016/j.infsof.2011.01.004openalex-snapshot
Research synthesis in software engineering: A tertiary study
inferredcites →https://doi.org/10.1016/j.infsof.2021.106771openalex-snapshot
Software security patch management - A systematic literature review of challenges, approaches, tools and practices
inferredcites →https://doi.org/10.1016/j.jss.2016.02.048openalex-snapshot
Mining trends and patterns of software vulnerabilities
inferredcites →https://doi.org/10.1016/j.jss.2017.02.021openalex-snapshot
Predicting bug-fixing time: A replication study using an open source software project
inferredcites →https://doi.org/10.1016/j.jss.2018.09.039openalex-snapshot
A multi-target approach to estimate software vulnerability characteristics and severity scores
inferredcites →https://doi.org/10.1016/j.jss.2019.06.001openalex-snapshot
Summarizing vulnerabilities’ descriptions to support experts during vulnerability assessment activities
inferredcites →https://doi.org/10.1016/j.jss.2019.07.002openalex-snapshot
Evolution of statistical analysis in empirical software engineering research: Current state and steps forward
inferredcites →https://doi.org/10.1016/j.jss.2020.110616openalex-snapshot
An automatic software vulnerability classification framework using term frequency-inverse gravity moment and feature selection
inferredcites →https://doi.org/10.1016/j.knosys.2020.106529openalex-snapshot
Apply transfer learning to cybersecurity: Predicting exploitability of vulnerabilities by description
inferredcites →https://doi.org/10.1016/s1353-4858(17)30027-2openalex-snapshot
Software vulnerability management: how intelligence helps reduce the risk
inferredcites →https://doi.org/10.1049/iet-sen.2020.0084openalex-snapshot
Literature survey of deep learning-based vulnerability analysis on source code
inferredcites →https://doi.org/10.1080/19361610.2020.1761737openalex-snapshot
Systematic Literature Review to Investigate the Application of Open Source Intelligence (OSINT) with Artificial Intelligence
inferredcites →https://doi.org/10.1093/comjnl/bxp040openalex-snapshot
A Categorization Framework for Common Computer Vulnerabilities and Exposures
inferredcites →https://doi.org/10.1093/cybsec/tyaa015openalex-snapshot
Improving vulnerability remediation through better exploit prediction
inferredcites →https://doi.org/10.1109/access.2019.2900462openalex-snapshot
Automatic Classification Method for Software Vulnerability Based on Deep Neural Network
inferredcites →https://doi.org/10.1109/access.2020.2965257openalex-snapshot
The Not Yet Exploited Goldmine of OSINT: Opportunities, Open Challenges and Future Trends
inferredcites →https://doi.org/10.1109/access.2020.3006361openalex-snapshot
A General Framework to Understand Vulnerabilities in Information Systems
inferredcites →https://doi.org/10.1109/access.2020.3034766openalex-snapshot
Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey
inferredcites →https://doi.org/10.1109/access.2021.3058067openalex-snapshot
Security Bug Report Usage for Software Vulnerability Research: A Systematic Mapping Study
inferredcites →https://doi.org/10.1109/apsec.2017.30openalex-snapshot
Exniffer: Learning to Prioritize Crashes by Assessing the Exploitability from Memory Dump
inferredcites →https://doi.org/10.1109/badgers.2015.018openalex-snapshot
Text-Mining Approach for Estimating Vulnerability Score
inferredcites →https://doi.org/10.1109/bigdata.2017.8257988openalex-snapshot
A scalable model for tracking topical evolution in large document collections
inferredcites →https://doi.org/10.1109/bigdata.2018.8622299openalex-snapshot
Analyzing Evolving Trends of Vulnerabilities in National Vulnerability Database
inferredcites →https://doi.org/10.1109/bigdia.2019.8802851openalex-snapshot
Vulnerability Severity Prediction With Deep Neural Network
inferredcites →https://doi.org/10.1109/comst.2018.2885561openalex-snapshot
Data-Driven Cybersecurity Incident Prediction: A Survey
inferredcites →https://doi.org/10.1109/csci49370.2019.00019openalex-snapshot
Analyzing CVE Database Using Unsupervised Topic Modelling
inferredcites →https://doi.org/10.1109/cscloud.2015.56openalex-snapshot
Predicting Vulnerability Exploits in the Wild
inferredcites →https://doi.org/10.1109/cyconus.2017.8167501openalex-snapshot
Proactive identification of exploits in the wild through vulnerability mentions online
inferredcites →https://doi.org/10.1109/dexa.2017.35openalex-snapshot
Classifying Web Exploits with Topic Modeling
inferredcites →https://doi.org/10.1109/dsaa53316.2021.9564227openalex-snapshot
V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities
inferredcites →https://doi.org/10.1109/dsn-s52858.2021.00011openalex-snapshot
Cleaning the NVD: Comprehensive Quality Assessment, Improvements, and Analyses
inferredcites →https://doi.org/10.1109/esem.2013.19openalex-snapshot
When a Patch Goes Bad: Exploring the Properties of Vulnerability-Contributing Commits
inferredcites →https://doi.org/10.1109/eurosp48549.2020.00018openalex-snapshot
Evaluating Explanation Methods for Deep Learning in Security
inferredcites →https://doi.org/10.1109/hicss.2003.1174243openalex-snapshot
Support vector machines for text categorization
inferredcites →https://doi.org/10.1109/icabcd49160.2020.9183814openalex-snapshot
Topic Modeling And Classification Of Common Vulnerabilities And Exposures Database
inferredcites →https://doi.org/10.1109/icaci.2019.8778469openalex-snapshot
Intelligent Prediction of Vulnerability Severity Level Based on Text Mining and XGBboost
inferredcites →https://doi.org/10.1109/iccv.2015.11openalex-snapshot
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books
inferredcites →https://doi.org/10.1109/icdm.2019.00110openalex-snapshot
VASE: A Twitter-Based Vulnerability Analysis and Score Engine
inferredcites →https://doi.org/10.1109/iceccs.2019.00011openalex-snapshot
Joint Prediction of Multiple Vulnerability Characteristics Through Multi-Task Learning
inferredcites →https://doi.org/10.1109/icinfa.2013.6720316openalex-snapshot
Automatic classification for vulnerability based on machine learning
inferredcites →https://doi.org/10.1109/icmla.2018.00120openalex-snapshot
Automated Vulnerability Detection in Source Code Using Deep Representation Learning
inferredcites →https://doi.org/10.1109/icpc52881.2021.00034openalex-snapshot
Shallow or Deep? An Empirical Study on Detecting Vulnerabilities using Deep Learning
inferredcites →https://doi.org/10.1109/icse-seip52600.2021.00019openalex-snapshot
Robustness of on-Device Models: Adversarial Attack to Deep Learning Models on Android Apps
inferredcites →https://doi.org/10.1109/icse.2013.6606654openalex-snapshot
Predicting bug-fixing time: An empirical study of commercial software projects
inferredcites →https://doi.org/10.1109/icse.2019.00076openalex-snapshot
Class Imbalance Evolution and Verification Latency in Just-in-Time Software Defect Prediction
inferredcites →https://doi.org/10.1109/icsme.2017.52openalex-snapshot
Learning to Predict Severity of Software Vulnerability Using Only Vulnerability Description
inferredcites →https://doi.org/10.1109/icsme.2019.00023openalex-snapshot
Automated Characterization of Software Vulnerabilities
inferredcites →https://doi.org/10.1109/iscc50000.2020.9219568openalex-snapshot
Automation of Vulnerability Classification from its Description using Machine Learning
inferredcites →https://doi.org/10.1109/iscid.2017.24openalex-snapshot
Machine Learning in Vulnerability Databases
inferredcites →https://doi.org/10.1109/isi.2016.7745435openalex-snapshot
Darknet and deepnet mining for proactive cybersecurity threat intelligence
inferredcites →https://doi.org/10.1109/issre.2010.53openalex-snapshot
Security Trend Analysis with CVE Topic Models
inferredcites →https://doi.org/10.1109/jproc.2020.2993293openalex-snapshot
Software Vulnerability Detection Using Deep Neural Networks: A Survey
inferredcites →https://doi.org/10.1109/msp.2006.145openalex-snapshot
Common Vulnerability Scoring System
inferredcites →https://doi.org/10.1109/msr.2010.5463340openalex-snapshot
Identifying security bug reports via text mining: An industrial case study
inferredcites →https://doi.org/10.1109/msr.2015.78openalex-snapshot
A Dataset of High Impact Bugs: Manually-Classified Issue Reports
inferredcites →https://doi.org/10.1109/msr.2019.00063openalex-snapshot
Automated Software Vulnerability Assessment with Concept Drift
inferredcites →https://doi.org/10.1109/msr52588.2021.00016openalex-snapshot
Automatic Part-of-Speech Tagging for Security Vulnerability Descriptions
inferredcites →https://doi.org/10.1109/pac.2017.10openalex-snapshot
ExploitMeter: Combining Fuzzing with Machine Learning for Automated Evaluation of Software Exploitability
inferredcites →https://doi.org/10.1109/prdc53464.2021.00016openalex-snapshot
Automated Security Assessment for the Internet of Things
inferredcites →https://doi.org/10.1109/qrs.2019.00041openalex-snapshot
Improving the Accuracy of Vulnerability Report Classification Using Term Frequency-Inverse Gravity Moment
inferredcites →https://doi.org/10.1109/saner.2018.8330232openalex-snapshot
DeepWeak: Reasoning common software weaknesses via knowledge graph embedding
inferredcites →https://doi.org/10.1109/sere-c.2014.17openalex-snapshot
Using Software Structure to Predict Vulnerability Exploitation Potential
inferredcites →https://doi.org/10.1109/sere.2013.31openalex-snapshot
VULCAN: Vulnerability Assessment Framework for Cloud Computing
inferredcites →https://doi.org/10.1109/sp.2016.15openalex-snapshot
LAVA: Large-Scale Automated Vulnerability Addition
inferredcites →https://doi.org/10.1109/tdsc.2019.2942930openalex-snapshot
μVulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection
inferredcites →https://doi.org/10.1109/tencon.2018.8650188openalex-snapshot
Assisting Vulnerability Detection by Prioritizing Crashes with Incremental Learning
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A Survey on Neural Network Interpretability
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A Survey on Multi-Task Learning
inferredcites →https://doi.org/10.1109/tse.2017.2787653openalex-snapshot
Text Filtering and Ranking for Security Bug Report Prediction
inferredcites →https://doi.org/10.1109/tse.2019.2937083openalex-snapshot
How does Machine Learning Change Software Development Practices?
inferredcites →https://doi.org/10.1109/tse.2021.3063727openalex-snapshot
Data Quality Matters: A Case Study on Data Label Correctness for Security Bug Report Prediction
inferredcites →https://doi.org/10.1145/1852666.1852699openalex-snapshot
Vulnerability categorization using Bayesian networks
inferredcites →https://doi.org/10.1145/2635868openalex-snapshot
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering
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Identifying the characteristics of vulnerable code changes: an empirical study
inferredcites →https://doi.org/10.1145/2857705.2857720openalex-snapshot
Toward Large-Scale Vulnerability Discovery using Machine Learning
inferredcites →https://doi.org/10.1145/2970276.2970281openalex-snapshot
MACKE: compositional analysis of low-level vulnerabilities with symbolic execution
inferredcites →https://doi.org/10.1145/3041008.3041009openalex-snapshot
Predicting Exploitation of Disclosed Software Vulnerabilities Using Open-source Data
inferredcites →https://doi.org/10.1145/3092566openalex-snapshot
Software Vulnerability Analysis and Discovery Using Machine-Learning and Data-Mining Techniques
inferredcites →https://doi.org/10.1145/3139367.3139390openalex-snapshot
Assessment of Vulnerability Severity using Text Mining
inferredcites →https://doi.org/10.1145/3176258.3176339openalex-snapshot
Automated Generation of Attack Graphs Using NVD
inferredcites →https://doi.org/10.1145/3196398.3196424openalex-snapshot
500+ times faster than deep learning
inferredcites →https://doi.org/10.1145/3243127.3243130openalex-snapshot
Automatically assessing vulnerabilities discovered by compositional analysis
inferredcites →https://doi.org/10.1145/3292500.3330742openalex-snapshot
Using Twitter to Predict When Vulnerabilities will be Exploited
inferredcites →https://doi.org/10.1145/3319008.3319033openalex-snapshot
A Conceptual Replication on Predicting the Severity of Software Vulnerabilities
inferredcites →https://doi.org/10.1145/3320269.3405435openalex-snapshot
POSTER: Dynamic Software Vulnerabilities Threat Prediction through Social Media Contextual Analysis
inferredcites →https://doi.org/10.1145/3350546.3352519openalex-snapshot
Mentions of Security Vulnerabilities on Reddit, Twitter and GitHub
inferredcites →https://doi.org/10.1145/335191.335372openalex-snapshot
Mining frequent patterns without candidate generation
inferredcites →https://doi.org/10.1145/3377815openalex-snapshot
Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Software Engineering in Society
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Is using deep learning frameworks free?
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A Machine Learning Approach for Vulnerability Curation
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The Impact of a Major Security Event on an Open Source Project
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Deep Learning for Source Code Modeling and Generation
inferredcites →https://doi.org/10.1145/3393822.3432335openalex-snapshot
LDA Categorization of Security Bug Reports in Chromium Projects
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Fighting N-day vulnerabilities with automated CVSS vector prediction at disclosure
inferredcites →https://doi.org/10.1145/3429444openalex-snapshot
Interpreting Deep Learning-based Vulnerability Detector Predictions Based on Heuristic Searching
inferredcites →https://doi.org/10.1145/3433174.3433612openalex-snapshot
An Approach to Discover and Assess Vulnerability Severity Automatically in Cyber-Physical Systems
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Exploit Prediction Scoring System (EPSS)
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Machine Learning for Detecting Data Exfiltration
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A Framework for Modeling Cyber Attack Techniques from Security Vulnerability Descriptions
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Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain
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A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites
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On the use of fine-grained vulnerable code statements for software vulnerability assessment models
inferredcites →https://doi.org/10.1145/3649590openalex-snapshot
Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositories
inferredcites →https://doi.org/10.1145/77606.77608openalex-snapshot
Interprocedural slicing using dependence graphs
inferredcites →https://doi.org/10.1162/106365602320169811openalex-snapshot
Evolving Neural Networks through Augmenting Topologies
inferredcites →https://doi.org/10.1162/tacl_a_00051openalex-snapshot
Enriching Word Vectors with Subword Information
inferredcites →https://doi.org/10.12720/jcm.10.5.320-329openalex-snapshot
A Novel Automatic Severity Vulnerability Assessment Framework
inferredcites →https://doi.org/10.1371/journal.pone.0228439openalex-snapshot
FastEmbed: Predicting vulnerability exploitation possibility based on ensemble machine learning algorithm
inferredcites →https://doi.org/10.1371/journal.pone.0230250openalex-snapshot
Multiple social platforms reveal actionable signals for software vulnerability awareness: A study of GitHub, Twitter and Reddit
inferredcites →https://doi.org/10.1587/transinf.2018ofl0006openalex-snapshot
Character-Level Convolutional Neural Network for Predicting Severity of Software Vulnerability from Vulnerability Description
inferredcites →https://doi.org/10.1609/aaai.v29i1.9513openalex-snapshot
Recurrent Convolutional Neural Networks for Text Classification
inferredcites →https://doi.org/10.1609/aaai.v32i1.11428openalex-snapshot
DarkEmbed: Exploit Prediction With Neural Language Models
inferredcites →https://doi.org/10.18653/v1/d19-1410openalex-snapshot
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
Deep Contextualized Word Representations
inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
inferredcites →https://doi.org/10.21236/ada273556openalex-snapshot
Building a Large Annotated Corpus of English: The Penn Treebank
inferredcites →https://doi.org/10.24251/hicss.2021.841openalex-snapshot
Tracing CAPEC Attack Patterns from CVE Vulnerability Information using Natural Language Processing Technique
inferredcites →https://doi.org/10.24963/ijcai.2019/648openalex-snapshot
VulSniper: Focus Your Attention to Shoot Fine-Grained Vulnerabilities
inferredcites →https://doi.org/10.24963/ijcai.2019/937openalex-snapshot
VEST: A System for Vulnerability Exploit Scoring & Timing
inferredcites →https://doi.org/10.3115/1219840.1219885openalex-snapshot
Incorporating non-local information into information extraction systems by Gibbs sampling
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3233/fi-2010-288openalex-snapshot
Boruta – A System for Feature Selection
inferredcites →https://doi.org/10.3233/ifs-151733openalex-snapshot
An automatic method for CVSS score prediction using vulnerabilities description
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AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
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Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1405.4053openalex-snapshot
Distributed Representations of Sentences and Documents
inferredcites →https://doi.org/10.48550/arxiv.1409.0473openalex-snapshot
Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1509.01626openalex-snapshot
Character-level Convolutional Networks for Text Classification
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1811.12808openalex-snapshot
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1905.05667openalex-snapshot
Evaluation Metrics for Unsupervised Learning Algorithms
inferredcites →https://doi.org/10.48550/arxiv.2001.09148openalex-snapshot
Learning to Catch Security Patches
inferredcites →https://doi.org/10.48550/arxiv.2006.16179openalex-snapshot
Legal Risks of Adversarial Machine Learning Research
inferredcites →https://doi.org/10.48550/arxiv.2008.02456openalex-snapshot
Predicting Missing Information of Key Aspects in Vulnerability Reports
inferredcites →https://doi.org/10.48550/arxiv.2101.01431openalex-snapshot
Generating Informative CVE Description From ExploitDB Posts by Extractive Summarization
inferredcites →https://doi.org/10.5281/zenodo.12935200openalex-snapshot
Multilingual Classifier for Automatic Dewey Decimal Classification trained on Open Access Linguistics Abstracts
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A dataset of high impact bugs: manually-classified issue reports
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Evaluating the Performance of Twitter-based Exploit Detectors
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Latent Dirichlet Allocation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4816905openalex-extracted
Enterprise Security Patch Management with Deep Reinforcement Learning
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VIDA : Enhancing Vulnerability Detection and Impact Analysis via Diffusion‐Guided Heterogeneous Knowledge Aggregation
inferred← citeshttps://doi.org/10.1007/978-3-031-55642-5_8openalex-snapshot
BERTVRepair: On the Adoption of CodeBERT for Automated Vulnerability Code Repair
inferred← citeshttps://doi.org/10.1007/978-3-031-81372-6_6openalex-snapshot
Usage of Cognitive Networks for Cyberattack Detection and Prevention
inferred← citeshttps://doi.org/10.1007/978-3-032-23883-2_28openalex-snapshot
Vulnerability Categorization and Prioritization with Machine Learning in the Transport Sector
inferred← citeshttps://doi.org/10.1007/978-981-95-9167-1_10openalex-snapshot
Role of Machine/Deep Learning in Disaster Management
inferred← citeshttps://doi.org/10.1007/s10515-024-00413-4openalex-snapshot
An extensive study of the effects of different deep learning models on code vulnerability detection in Python code
inferred← citeshttps://doi.org/10.1007/s10515-025-00526-4openalex-snapshot
Semi-supervised software vulnerability assessment via code lexical and structural information fusion
inferred← citeshttps://doi.org/10.1007/s10664-024-10448-6openalex-snapshot
VulNet: Towards improving vulnerability management in the Maven ecosystem
inferred← citeshttps://doi.org/10.1007/s11219-026-09742-xopenalex-snapshot
An efficient blending model for classifying security-related software vulnerabilities into software development life cycle phases
inferred← citeshttps://doi.org/10.1007/s11227-025-07198-7openalex-snapshot
XGV-BERT: Leveraging contextualized language model and graph neural network for efficient software vulnerability detection
inferred← citeshttps://doi.org/10.1016/j.array.2025.100536openalex-snapshot
GreenBERT: A lightweight green transformer for automated prediction of software vulnerability scores
inferred← citeshttps://doi.org/10.1016/j.cities.2026.107389openalex-snapshot
Assessing household's vulnerability to urban flood based on AHP and TOPSIS method: A case study of the flood-prone area in Pakistan
inferred← citeshttps://doi.org/10.1016/j.cose.2023.103286openalex-snapshot
Common vulnerability scoring system prediction based on open source intelligence information sources
inferred← citeshttps://doi.org/10.1016/j.cose.2024.104184openalex-snapshot
Towards prompt tuning-based software vulnerability assessment with continual learning
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111914openalex-snapshot
Resource-efficient automatic software vulnerability assessment via knowledge distillation and particle swarm optimization
inferred← citeshttps://doi.org/10.1016/j.ijcip.2026.100880openalex-snapshot
Mapping IEC 62443-3-3 achieved security levels to CVSS v3.x environmental metrics for smart grid vulnerability prioritization
inferred← citeshttps://doi.org/10.1016/j.infsof.2023.107371openalex-snapshot
Vulnerability detection based on federated learning
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107803openalex-snapshot
SVA-ICL: Improving LLM-based software vulnerability assessment via in-context learning and information fusion
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107853openalex-snapshot
FVulPri: Fine-grained vulnerability prioritization based on BERT-BGRU and multiple indicators
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108291openalex-snapshot
STEER-FL: A process model for federated learning derived from a dual-perspective systematic literature review
inferred← citeshttps://doi.org/10.1016/j.iswa.2025.200515openalex-snapshot
A comparative analysis on using GPT and BERT for automated vulnerability scoring
inferred← citeshttps://doi.org/10.1016/j.jisa.2024.103871openalex-snapshot
SQL injection attack: Detection, prioritization & prevention
inferred← citeshttps://doi.org/10.1016/j.jisa.2025.104138openalex-snapshot
An optimized reinforcement learning based MTD mutation strategy for securing edge IoT against DDoS attack
inferred← citeshttps://doi.org/10.1016/j.jnca.2023.103761openalex-snapshot
NLP methods in host-based intrusion detection systems: A systematic review and future directions
inferred← citeshttps://doi.org/10.1016/j.jss.2023.111790openalex-snapshot
Automatic software vulnerability assessment by extracting vulnerability elements
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112442openalex-snapshot
Improving distributed learning-based vulnerability detection via multi-modal prompt tuning
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112469openalex-snapshot
FedMVA: Enhancing software vulnerability assessment via federated multimodal learning
inferred← citeshttps://doi.org/10.1016/j.jss.2026.112855openalex-snapshot
ReVul-CoT: Towards effective software vulnerability assessment with retrieval-augmented generation and chain-of-thought prompting
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114406openalex-snapshot
Automated vulnerability score prediction through lightweight generative AI
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.114517openalex-snapshot
Exploitability prediction of vulnerabilities based on heterogeneous graphs
inferred← citeshttps://doi.org/10.1080/24725854.2026.2696813openalex-snapshot
A state-dependent patching policy for software systems with heterogeneous vulnerabilities
inferred← citeshttps://doi.org/10.1093/jigpal/jzae075openalex-snapshot
A comparative study of neural network architectures for software vulnerability forecasting
inferred← citeshttps://doi.org/10.1109/access.2024.3488904openalex-snapshot
A Decade of Progress: A Systematic Literature Review on the Integration of AI in Software Engineering Phases and Activities (2013-2023)
inferred← citeshttps://doi.org/10.1109/access.2026.3663784openalex-snapshot
Transformation of Vulnerability Management Through Artificial Intelligence: An Overview of Generative and Learning Models
inferred← citeshttps://doi.org/10.1109/apsec60848.2023.00052openalex-snapshot
Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study
inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678622openalex-snapshot
DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning
inferred← citeshttps://doi.org/10.1109/bigcom61073.2023.00015openalex-snapshot
Network Vulnerability Assessment based on Knowledge Graph
inferred← citeshttps://doi.org/10.1109/blackseacom69760.2026.11598324openalex-snapshot
Automating Vulnerability Assessment Using a Machine Learning Framework for CVSS Scoring
inferred← citeshttps://doi.org/10.1109/cec55065.2022.9870289openalex-snapshot
Multi-objective prioritization for data center vulnerability remediation
inferred← citeshttps://doi.org/10.1109/citce67565.2025.11360004openalex-snapshot
M-VP2: Microservice-Oriented Vulnerability Patch Planning - A Cost-Aware Approachusing Multi-Agent Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/cscwd64889.2025.11033290openalex-snapshot
Enhance CVE Severity Prediction From Vulnerability Description with Auxiliary Sentence
inferred← citeshttps://doi.org/10.1109/csr61664.2024.10679404openalex-snapshot
Application of Robotic Exploration Principles to the Challenge of Cybersecurity Penetration Testing
inferred← citeshttps://doi.org/10.1109/dasc64200.2024.00014openalex-snapshot
Leveraging Generative AI to Enhance Automated Vulnerability Scoring
inferred← citeshttps://doi.org/10.1109/esmarta70636.2026.11652122openalex-snapshot
Predicting WordPress Security Levels from Malware and Vulnerability Signals: An Ordinal-Hierarchical Machine Learning Approach with XAI
inferred← citeshttps://doi.org/10.1109/eurosp57164.2023.00022openalex-snapshot
SoK: Explainable Machine Learning for Computer Security Applications
inferred← citeshttps://doi.org/10.1109/fdtc68360.2025.00011openalex-snapshot
Improving Fault Vulnerability Detection via Rehosting and Comparative Analysis of Open-Source Tools
inferred← citeshttps://doi.org/10.1109/gaiis69281.2026.11519278openalex-snapshot
NAVIGATE: Multi-Agent Graph-Based Vulnerability Detection with Adversarial Severity Assessment
inferred← citeshttps://doi.org/10.1109/iccst63435.2025.11293920openalex-snapshot
A Novel Vulnerability Prioritization Model for Workstation Endpoints with Context Intelligence
inferred← citeshttps://doi.org/10.1109/icdmw69685.2025.00164openalex-snapshot
Security Charter Effectiveness in Large Language Model Code Generation: A Multi-Phase Experimental Analysis Revealing Task-Dependent Responsiveness and Architectural Differences
inferred← citeshttps://doi.org/10.1109/icicv68925.2026.11554898openalex-snapshot
SCANXPLOIT: Bridging the Gap in Security Assessments with Automated Penetration Testing using the IASE Framework
inferred← citeshttps://doi.org/10.1109/icpc58990.2023.00048openalex-snapshot
FVA: Assessing Function-Level Vulnerability by Integrating Flow-Sensitive Structure and Code Statement Semantic
inferred← citeshttps://doi.org/10.1109/icse48619.2023.00088openalex-snapshot
Fine-grained Commit-level Vulnerability Type Prediction by CWE Tree Structure
inferred← citeshttps://doi.org/10.1109/icsme64153.2025.00023openalex-snapshot
Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction
inferred← citeshttps://doi.org/10.1109/icsme64153.2025.00112openalex-snapshot
VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models
inferred← citeshttps://doi.org/10.1109/icton59386.2023.10207394openalex-snapshot
Analysis of CVSS Vulnerability Base Scores in the Context of Exploits’ Availability
inferred← citeshttps://doi.org/10.1109/iicspi66775.2025.11437886openalex-snapshot
A Network Vulnerability Classification Method Based on CVSS
inferred← citeshttps://doi.org/10.1109/indiscon58499.2023.10270363openalex-snapshot
PoC Self-Generation Technology Based on Vulnerability Verification Program
inferred← citeshttps://doi.org/10.1109/iraset60544.2024.10549540openalex-snapshot
Keeping Track of Network Infrastructure Vulnerabilities Using a Network Forensic Approach
inferred← citeshttps://doi.org/10.1109/isdfs60797.2024.10527294openalex-snapshot
A Study of Fine-Tuned Language Models in Vulnerability Classification
inferred← citeshttps://doi.org/10.1109/issre59848.2023.00073openalex-snapshot
An Approach to Characterize the Security of Open-Source Functions using LSP
inferred← citeshttps://doi.org/10.1109/ist64061.2024.10843410openalex-snapshot
Advanced Automated Vulnerability Scoring: Improving Performance with a Fine-Tuned BERT-CNN Model
inferred← citeshttps://doi.org/10.1109/jcsse68839.2026.11597025openalex-snapshot
Mission-Aware SBOM Vulnerability Triage with KEV/EPSS and LLM-Based VEX Drafting
inferred← citeshttps://doi.org/10.1109/msec.2023.3333936openalex-snapshot
The Holy Grail of Vulnerability Predictions
inferred← citeshttps://doi.org/10.1109/msr66628.2025.00030openalex-snapshot
From Industrial Practices to Academia: Uncovering the Gap in Vulnerability Research and Practice
inferred← citeshttps://doi.org/10.1109/msr66628.2025.00099openalex-snapshot
LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurations
inferred← citeshttps://doi.org/10.1109/prdc53464.2021.00016openalex-snapshot
Automated Security Assessment for the Internet of Things
inferred← citeshttps://doi.org/10.1109/qrs57517.2022.00015openalex-snapshot
Exploring Transformers for Multi-Label Classification of Java Vulnerabilities
inferred← citeshttps://doi.org/10.1109/raics66191.2025.11332598openalex-snapshot
VulDetPHP: A Machine Learning Framework for Detecting Vulnerabilities in PHP Source Codes
inferred← citeshttps://doi.org/10.1109/saner53432.2022.00050openalex-snapshot
An Investigation into Inconsistency of Software Vulnerability Severity across Data Sources
inferred← citeshttps://doi.org/10.1109/saner53432.2022.00124openalex-snapshot
Well Begun is Half Done: An Empirical Study of Exploitability & Impact of Base-Image Vulnerabilities
inferred← citeshttps://doi.org/10.1109/spw72489.2026.00045openalex-snapshot
An Approach to Predictive Software Threat Modeling Using Public Vulnerability Data
inferred← citeshttps://doi.org/10.1109/stc58598.2023.00010openalex-snapshot
NUVER: Network Based Vulnerability Visualizer
inferred← citeshttps://doi.org/10.1109/tifs.2026.3723092openalex-snapshot
Cross-Architecture Software Vulnerability Analysis in Binary Code
inferred← citeshttps://doi.org/10.1109/tii.2022.3192027openalex-snapshot
Knowledge-Driven Cybersecurity Intelligence: Software Vulnerability Coexploitation Behavior Discovery
inferred← citeshttps://doi.org/10.1109/tps-isa62245.2024.00045openalex-snapshot
Discovery of Evolving Relationships of Software Vulnerabilities
inferred← citeshttps://doi.org/10.1109/tr.2025.3616178openalex-snapshot
Completion of Phrase-Based Concepts in Vulnerability Descriptions Through 1-Hop Relationship
inferred← citeshttps://doi.org/10.1109/tse.2022.3171202openalex-snapshot
Data Preparation for Software Vulnerability Prediction: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/tse.2024.3470333openalex-snapshot
Multitask-Based Evaluation of Open-Source LLM on Software Vulnerability
inferred← citeshttps://doi.org/10.1145/3538969.3544458openalex-snapshot
Current Challenges of Cyber Threat and Vulnerability Identification Using Public Enumerations
inferred← citeshttps://doi.org/10.1145/3597503.3608141openalex-snapshot
Toward Improved Deep Learning-based Vulnerability Detection
inferred← citeshttps://doi.org/10.1145/3643991.3644919openalex-snapshot
Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study
inferred← citeshttps://doi.org/10.1145/3648610openalex-snapshot
A Survey on Software Vulnerability Exploitability Assessment
inferred← citeshttps://doi.org/10.1145/3661167.3661281openalex-snapshot
Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT
inferred← citeshttps://doi.org/10.1145/3663529.3663835openalex-snapshot
Unveil the Mystery of Critical Software Vulnerabilities
inferred← citeshttps://doi.org/10.1145/3664476.3671013openalex-snapshot
Vulnerability management digital twin for energy systems
inferred← citeshttps://doi.org/10.1145/3671005openalex-snapshot
A Compact Vulnerability Knowledge Graph for Risk Assessment
inferred← citeshttps://doi.org/10.1145/3674805.3686670openalex-snapshot
Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++
inferred← citeshttps://doi.org/10.1145/3674805.3686674openalex-snapshot
Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help?
inferred← citeshttps://doi.org/10.1145/3674805.3686675openalex-snapshot
Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?
inferred← citeshttps://doi.org/10.1145/3699711openalex-snapshot
A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning
inferred← citeshttps://doi.org/10.1145/3712005openalex-snapshot
The Current Challenges of Software Engineering in the Era of Large Language Models
inferred← citeshttps://doi.org/10.1145/3719027.3765210openalex-snapshot
Conflicting Scores, Confusing Signals: An Empirical Study of Vulnerability Scoring Systems
inferred← citeshttps://doi.org/10.1145/3735968openalex-snapshot
Detecting Misuse of Security APIs: A Systematic Review
inferred← citeshttps://doi.org/10.1145/3744916.3787781openalex-snapshot
Software Vulnerability Management in the Era of Artificial Intelligence: An Industry Perspective
inferred← citeshttps://doi.org/10.1145/3744916.3787796openalex-snapshot
Securing the AI Supply Chain: What Can We Learn From Developer-Reported Security Issues and Solutions of AI Projects?
inferred← citeshttps://doi.org/10.1145/3786165.3788439openalex-snapshot
LLMs in Code Vulnerability Analysis: A Proof of Concept
inferred← citeshttps://doi.org/10.11591/ijece.v14i4.pp4551-4562openalex-snapshot
Prediction of vulnerability severity using vulnerability description with natural language processing and deep learning
inferred← citeshttps://doi.org/10.1186/s42400-025-00543-6openalex-snapshot
Software vulnerability management in IoT systems: a systematic mapping study
inferred← citeshttps://doi.org/10.15407/visn2023.02.012openalex-snapshot
Сучасні наукові проблеми кібербезпеки
inferred← citeshttps://doi.org/10.17721/ait.2025.2.04openalex-snapshot
SBOM-BASED VULNERABILITY PRIORITIZATION IN SOFTWARE SUPPLY CHAIN USING MACHINE LEARNING
inferred← citeshttps://doi.org/10.2139/ssrn.5074672openalex-snapshot
Dmvaf: A Privacy-Preserving Multimodal Framework for Decentralized Vulnerability Assessment
inferred← citeshttps://doi.org/10.23919/cnsm62983.2024.10814436openalex-snapshot
Automating Network Perimeter Threat Prevention for Decentralized Network Administration
inferred← citeshttps://doi.org/10.23919/softcom58365.2023.10271671openalex-snapshot
Automated Calculation of CVSS v3.1 Temporal Score Based on Apache Log4j 2021 Vulnerabilities
inferred← citeshttps://doi.org/10.3390/fi17010033openalex-snapshot
Question–Answer Methodology for Vulnerable Source Code Review via Prototype-Based Model-Agnostic Meta-Learning
inferred← citeshttps://doi.org/10.3390/info14070403openalex-snapshot
Exploitation of Vulnerabilities: A Topic-Based Machine Learning Framework for Explaining and Predicting Exploitation
inferred← citeshttps://doi.org/10.3390/info17090846openalex-snapshot
A Design Science Study of Automated CVE Ingestion and Risk-Based Vulnerability Prioritization in Healthcare Cybersecurity
inferred← citeshttps://doi.org/10.4018/978-1-6684-7110-4.ch006openalex-snapshot
Zero Day Vulnerabilities Assessments, Exploits Detection, and Various Design Patterns in Cyber Software
inferred← citeshttps://doi.org/10.4018/978-1-6684-9018-1.ch004openalex-snapshot
Zero Day Vulnerability Assessment
inferred← citeshttps://doi.org/10.56726/irjmets51427openalex-snapshot
Exploiting server vulnerabilities
inferred← citeshttps://doi.org/10.70315/uloap.ulirs.2024.0102010openalex-snapshot
Proactive Cybersecurity Methodology: An AI-Assisted Framework for Continuous Source-Code Vulnerability Analysis and Remediation
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.