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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4419-6967-5_6openalex-snapshot

Modeling the Security Ecosystem - The Dynamics of (In)Security

inferredcites →https://doi.org/10.1007/bfb0026666openalex-snapshot

Naive (Bayes) at forty: The independence assumption in information retrieval

inferredcites →https://doi.org/10.1007/s10796-006-9012-5openalex-snapshot

Does information security attack frequency increase with vulnerability disclosure? An empirical analysis

inferredcites →https://doi.org/10.1109/2.889093openalex-snapshot

Windows of vulnerability: a case study analysis

inferredcites →https://doi.org/10.1109/msp.2006.101openalex-snapshot

On the Brittleness of Software and the Infeasibility of Security Metrics

inferredcites →https://doi.org/10.1145/637201.637244openalex-snapshot

Code-Red

inferredcites →https://doi.org/10.2139/ssrn.669023openalex-snapshot

Optimal Policy for Software Vulnerability Disclosure

inferredcites →https://doi.org/10.2307/1271368openalex-snapshot

Statistical Learning Theory

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Risk-Based Vulnerability Disclosure: Towards Optimal Policy

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inferred← citeshttps://doi.org/10.2139/ssrn.4616396openalex-extracted

Ics-Ltu2022: A Dataset for Ics Vulnerabilities

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Analysing the Temporal Dynamics of the Exploit Prediction Scoring Systems (Epss)

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Machine learning for automatic assignment of the severity of cybersecurity events

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Vulnerability detection based on transformer and high‐quality number embedding

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Data Modelling for Predicting Exploits

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Consequence-Based Resilient Architectures

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Some Vulnerabilities Are Different Than Others

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Understanding the Vulnerability Lifecycle for Risk Assessment and Defense Against Sophisticated Cyber Attacks

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Automatic Vulnerability Classification Using Machine Learning

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After-Life Vulnerabilities: A Study on Firefox Evolution, Its Vulnerabilities, and Fixes

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Severity Prediction of Software Vulnerabilities Using Textual Data

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CyberLLM: Enable Mapping CVE to Tactics and Techniques of Cyber Threats via LLM

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A Survey of Cybersecurity Knowledge Base and Its Automatic Labeling

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Empowering Vulnerability Prioritization: A Heterogeneous Graph-Driven Framework for Exploitability Prediction

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Do bugs foreshadow vulnerabilities? An in-depth study of the chromium project

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Measuring the accuracy of software vulnerability assessments: experiments with students and professionals

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Footprints of Data in a Classifier: Understanding the Privacy Risks and Solution Strategies

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Vulnerability exploitation time prediction: an integrated framework for dynamic imbalanced learning

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Longitudinal analysis of a large corpus of cyber threat descriptions

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Network malware classification comparison using DPI and flow packet headers

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Software vulnerability prioritization using vulnerability description

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Proactive Cyber Defense

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Analyzing Security Data

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The Art and Science of Analyzing Software Data

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Towards Automatic Discovery and Assessment of Vulnerability Severity in Cyber-Physical Systems

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A mixed methods probe into the direct disclosure of software vulnerabilities

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Adaptive non-critical alarm reduction using hash-based contextual signatures in intrusion detection

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An expert-based investigation of the Common Vulnerability Scoring System

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Fragmentation of CVSS scores in the NVD: A quantitative analysis of inconsistency across vulnerability scoring standards

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A case study on software vulnerability coordination

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CASMS: Combining clustering with attention semantic model for identifying security bug reports

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A comparative analysis on using GPT and BERT for automated vulnerability scoring

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An automatic software vulnerability classification framework using term frequency-inverse gravity moment and feature selection

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Feature models to boost the vulnerability management process

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The anatomy of a vulnerability database: A systematic mapping study

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Apply transfer learning to cybersecurity: Predicting exploitability of vulnerabilities by description

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A Method to Choose Between Automation and Human Operators for Recovery Actions During a Cyber Attack

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Risk-ranking matrix for security patching of exploitable vulnerabilities

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Enhanced vulnerability severity assessment via graph convolutional network-based dependency analysis

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Analysis of software vulnerability classification based on different technical parameters

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Vulnerability scoring metric of CVSS needs to be adjusted per each product: our analysis on Linux and Apache

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Predicting Exploitations of Information Systems Vulnerabilities Through Attackers’ Characteristics

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A Systematic Literature Review on Software Vulnerability Prediction Models

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OutCenTR: A Method for Predicting Exploits of Cyber Vulnerabilities in High Dimensional Datasets

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A Comprehensive Survey on Cognitive Cyber Security Analysis Using Machine Learning Approaches

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Automating Enterprise Vulnerability Exposure: SCAP-Based Asset-CVE Linkage with Social Signal Triage for Cyber Defense

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VerDiff: Vulnerability Presence Verification for Comprehensive Reporting Using Constraint Programming

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A Graph Neural Network-based Security Posture-aware Cloud Service Provider Selection for Multi-cloud

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Categorizing and Predicting Invalid Vulnerabilities on Common Vulnerabilities and Exposures

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DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning

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NL2Vul: Natural Language to Standard Vulnerability Score for Cloud Security Posture Management

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The Flaw Within: Identifying CVSS Score Discrepancies in the NVD

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Dynamic Risk-Aware Patch Scheduling

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Predicting Entity Relations across Different Security Databases by Using Graph Attention Network

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Automated Vulnerability Assessment Using Machine Intelligence

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Predicting Vulnerability Exploits in the Wild

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Software Vulnerabilities, Products and Exploits: A Statistical Relational Learning Approach

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Towards Green Generative AI for Exploit Prediction in Resource-Limited Systems

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Proactive identification of exploits in the wild through vulnerability mentions online

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Privacy-Enabled Recommendations for Software Vulnerabilities

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Leveraging Generative AI to Enhance Automated Vulnerability Scoring

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Scalable Approach to Enhancing ICS Resilience by Network Diversity

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Predicting Vulnerability Type in Common Vulnerabilities and Exposures (CVE) Database with Machine Learning Classifiers

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Compositional Machine Learning Method for Computer Security Incidents Response Taxonomy Classification

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HLT: A Hierarchical Vulnerability Detection Model Based on Transformer

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Joint Prediction of Multiple Vulnerability Characteristics Through Multi-Task Learning

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Global Vulnerability Database Research: Cross-Reference and Analysis Framework Report

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CHeSS: A Configuration Health Scoring System and Its Application to Network Devices

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FVA: Assessing Function-Level Vulnerability by Integrating Flow-Sensitive Structure and Code Statement Semantic

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LLM-Powered Framework for Real-World Exploit Prediction

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Learning to Predict Severity of Software Vulnerability Using Only Vulnerability Description

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Container Based Analysis Tool for Vulnerability Prioritization in Cyber Security Systems

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Automatic Classification of Vulnerabilities using Deep Learning and Machine Learning Algorithms

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Automation of Vulnerability Classification from its Description using Machine Learning

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Proactive defense for evolving cyber threats

inferred← citeshttps://doi.org/10.1109/isi.2012.6283222openalex-snapshot

Predictive defense against evolving adversaries

inferred← citeshttps://doi.org/10.1109/isi.2013.6578785openalex-snapshot

Moving target defense for adaptive adversaries

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Advanced Automated Vulnerability Scoring: Improving Performance with a Fine-Tuned BERT-CNN Model

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Enterprise Intranet Threat Intelligence Processing Framework Based on Open Source Community

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An Empirical Analysis of Contemporary Android Mobile Vulnerability Market

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Is Vulnerability Report Confidence Redundant? Pitfalls Using Temporal Risk Scores

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The Holy Grail of Vulnerability Predictions

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Automated Software Vulnerability Assessment with Concept Drift

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From Industrial Practices to Academia: Uncovering the Gap in Vulnerability Research and Practice

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ExploitMeter: Combining Fuzzing with Machine Learning for Automated Evaluation of Software Exploitability

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Measuring the Occurrence of Security-Related Bugs through Software Evolution

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Security Vulnerability and Mitigation in Photovoltaic Systems

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Comparing and Evaluating CVSS Base Metrics and Microsoft Rating System

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Centralized vulnerability database for organization specific automated vulnerabilities discovery and supervision

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The Trouble with Security Requirements

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Using Software Structure to Predict Vulnerability Exploitation Potential

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VRank: A Context-Aware Approach to Vulnerability Scoring and Ranking in SOA

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SoK: Cyber Insurance – Technical Challenges and a System Security Roadmap

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Quantitative Assessment of Risk Reduction with Cybercrime Black Market Monitoring

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Automated Extraction of Software Names from Vulnerability Reports using LSTM and Expert System

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MARFCAT: Fast code analysis for defects and vulnerabilities

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Big Data for Cybersecurity: Vulnerability Disclosure Trends and Dependencies

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Predicting Propagation of Stealthy Worm for Unknown Source in Mobile-Edge Computing

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Can the Common Vulnerability Scoring System be Trusted? A Bayesian Analysis

inferred← citeshttps://doi.org/10.1109/tdsc.2019.2893950openalex-snapshot

Large Scale Characterization of Software Vulnerability Life Cycles

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SAIS: Self-Adaptive Identification of Security Bug Reports

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ILLATION: Improving Vulnerability Risk Prioritization by Learning From Network

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Enabling Generalized Zero-Shot Vulnerability Classification

inferred← citeshttps://doi.org/10.1109/tencon.2018.8650188openalex-snapshot

Assisting Vulnerability Detection by Prioritizing Crashes with Incremental Learning

inferred← citeshttps://doi.org/10.1109/tic68483.2026.11702814openalex-snapshot

Hybrid Soft Computing–Based Framework for Vulnerability Risk Classification Using the KEV Dataset

inferred← citeshttps://doi.org/10.1109/tifs.2018.2807793openalex-snapshot

A Self-Adaptive Bell–LaPadula Model Based on Model Training With Historical Access Logs

inferred← citeshttps://doi.org/10.1109/tifs.2026.3695432openalex-snapshot

TS-VulA: A Triple-Stage Vulnerability Analysis Framework for Industrial Internet of Things

inferred← citeshttps://doi.org/10.1109/tnsm.2021.3133811openalex-snapshot

LICALITY—Likelihood and Criticality: Vulnerability Risk Prioritization Through Logical Reasoning and Deep Learning

inferred← citeshttps://doi.org/10.1109/tnsm.2023.3234554openalex-snapshot

A Statistical Relational Learning Approach Towards Products, Software Vulnerabilities and Exploits

inferred← citeshttps://doi.org/10.1109/tps-isa50397.2020.00012openalex-snapshot

A Queueing Solution to Reduce Delay in Processing of Disclosed Vulnerabilities

inferred← citeshttps://doi.org/10.1109/tr.2013.2257052openalex-snapshot

Vulnerability Scrying Method for Software Vulnerability Discovery Prediction Without a Vulnerability Database

inferred← citeshttps://doi.org/10.1109/tr.2024.3470132openalex-snapshot

CoExpMiner: An AHIN-Based Vulnerability Co-Exploitation Mining Framework

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/trustcom53373.2021.00137openalex-snapshot

Multi-label Positive and Unlabeled Learning and its Application to Common Vulnerabilities and Exposure Categorization

inferred← citeshttps://doi.org/10.1109/tsc.2016.2646687openalex-snapshot

Shifting to Mobile: Network-Based Empirical Study of Mobile Vulnerability Market

inferred← citeshttps://doi.org/10.1109/tse.2014.2340398openalex-snapshot

Predicting Vulnerable Software Components via Text Mining

inferred← citeshttps://doi.org/10.1109/tse.2017.2787653openalex-snapshot

Text Filtering and Ranking for Security Bug Report Prediction

inferred← citeshttps://doi.org/10.1109/tse.2022.3176674openalex-snapshot

Software Updates Strategies: A Quantitative Evaluation Against Advanced Persistent Threats

inferred← citeshttps://doi.org/10.1109/tsmc.2019.2937551openalex-snapshot

Using Conditional Random Fields to Optimize a Self-Adaptive Bell–LaPadula Model in Control Systems

inferred← citeshttps://doi.org/10.1109/uic-atc-scalcom-cbdcom-iop.2015.242openalex-snapshot

Vulnerabilities Scoring Approach for Cloud SaaS

inferred← citeshttps://doi.org/10.1109/wincom65874.2025.11313442openalex-snapshot

Toward Dynamic Risk Assessment: Machine Learning and LLMs in Software Vulnerability Prioritization

inferred← citeshttps://doi.org/10.1109/wsc.2017.8248141openalex-snapshot

Modeling the effects of insider threats on cybersecurity of complex systems

inferred← citeshttps://doi.org/10.1111/ijau.12093openalex-snapshot

The occurrence and awareness of a misstatement effect in auditors' internal control severity judgments

inferred← citeshttps://doi.org/10.1111/risa.12864openalex-snapshot

Security Events and Vulnerability Data for Cybersecurity Risk Estimation

inferred← citeshttps://doi.org/10.1111/risa.13732openalex-snapshot

The Work‐Averse Cyberattacker Model: Theory and Evidence from Two Million Attack Signatures

inferred← citeshttps://doi.org/10.1111/risa.70178openalex-snapshot

Algorithm Perception When Using Threat Intelligence in Vulnerability Risk Assessment

inferred← citeshttps://doi.org/10.1145/2382416.2382427openalex-snapshot

A preliminary analysis of vulnerability scores for attacks in wild

inferred← citeshttps://doi.org/10.1145/2413296.2413300openalex-snapshot

Point-and-shoot security design

inferred← citeshttps://doi.org/10.1145/2630069openalex-snapshot

Comparing Vulnerability Severity and Exploits Using Case-Control Studies

inferred← citeshttps://doi.org/10.1145/2645791.2645796openalex-snapshot

Securing Legacy Code with the TRACER Platform

inferred← citeshttps://doi.org/10.1145/2663887.2663906openalex-snapshot

An Exploratory Study of White Hat Behaviors in a Web Vulnerability Disclosure Program

inferred← citeshttps://doi.org/10.1145/2857705.2857750openalex-snapshot

To Fear or Not to Fear That is the Question

inferred← citeshttps://doi.org/10.1145/2989238.2989239openalex-snapshot

Vulnerability severity scoring and bounties: why the disconnect?

inferred← citeshttps://doi.org/10.1145/3041008.3041009openalex-snapshot

Predicting Exploitation of Disclosed Software Vulnerabilities Using Open-source Data

inferred← citeshttps://doi.org/10.1145/3133956.3133960openalex-snapshot

Economic Factors of Vulnerability Trade and Exploitation

inferred← citeshttps://doi.org/10.1145/3233027.3233042openalex-snapshot

Understanding vulnerabilities in plugin-based web systems

inferred← citeshttps://doi.org/10.1145/3292500.3330742openalex-snapshot

Using Twitter to Predict When Vulnerabilities will be Exploited

inferred← citeshttps://doi.org/10.1145/3436242openalex-snapshot

Exploit Prediction Scoring System (EPSS)

inferred← citeshttps://doi.org/10.1145/3463274.3463331openalex-snapshot

A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites

inferred← citeshttps://doi.org/10.1145/3465481.3465758openalex-snapshot

Linking CVE’s to MITRE ATT&CK Techniques

inferred← citeshttps://doi.org/10.1145/3491263openalex-snapshot

CVSS: Ubiquitous and Broken

inferred← citeshttps://doi.org/10.1145/3498537openalex-snapshot

Detecting and Augmenting Missing Key Aspects in Vulnerability Descriptions

inferred← citeshttps://doi.org/10.1145/3503823.3503888openalex-snapshot

Predicting the existence of exploitation concepts linked to software vulnerabilities using text mining

inferred← citeshttps://doi.org/10.1145/3524489.3527298openalex-snapshot

Predicting the severity and exploitability of vulnerability reports using convolutional neural nets

inferred← citeshttps://doi.org/10.1145/3529757openalex-snapshot

A Survey on Data-driven Software Vulnerability Assessment and Prioritization

inferred← citeshttps://doi.org/10.1145/3540250.3549156openalex-snapshot

Automated unearthing of dangerous issue reports

inferred← citeshttps://doi.org/10.1145/3551349.3556969openalex-snapshot

An Empirical Study of Automation in Software Security Patch Management

inferred← citeshttps://doi.org/10.1145/3607199.3607241openalex-snapshot

Bin there, target that: Analyzing the target selection of IoT vulnerabilities in malware binaries

inferred← citeshttps://doi.org/10.1145/3611643.3616346openalex-snapshot

Commit-Level, Neural Vulnerability Detection and Assessment

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