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Deep Domain Adaptation With Max-Margin Principle for Cross-Project Imbalanced Software Vulnerability Detection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-47426-3_54openalex-snapshot
Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection
inferredcites →https://doi.org/10.1007/978-3-319-14633-1_5openalex-snapshot
Fuzzy Semi-supervised Large Margin One-Class Support Vector Machine
inferredcites →https://doi.org/10.1007/s10462-007-9052-3openalex-snapshot
Machine learning: a review of classification and combining techniques
inferredcites →https://doi.org/10.1007/s10664-023-10346-3openalex-snapshot
AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities
inferredcites →https://doi.org/10.1016/j.jnca.2021.103009openalex-snapshot
The rise of software vulnerability: Taxonomy of software vulnerabilities detection and machine learning approaches
inferredcites →https://doi.org/10.1023/b:mach.0000008084.60811.49openalex-snapshot
Support Vector Data Description
inferredcites →https://doi.org/10.1109/72.991427openalex-snapshot
A comparison of methods for multiclass support vector machines
inferredcites →https://doi.org/10.1109/apsec60848.2023.00085openalex-snapshot
ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We?
inferredcites →https://doi.org/10.1109/cvpr.2019.00949openalex-snapshot
Class-Balanced Loss Based on Effective Number of Samples
inferredcites →https://doi.org/10.1109/iceccs.2019.00012openalex-snapshot
Static Detection of Control-Flow-Related Vulnerabilities Using Graph Embedding
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/icse-companion55297.2022.9793807openalex-snapshot
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection
inferredcites →https://doi.org/10.1109/ijcnn.2010.5596456openalex-snapshot
An optimal sphere and two large margins approach for novelty detection
inferredcites →https://doi.org/10.1109/ijcnn.2014.6889583openalex-snapshot
Kernel-based semi-supervised learning for novelty detection
inferredcites →https://doi.org/10.1109/ijcnn.2015.7280565openalex-snapshot
Graph-based semi-supervised Support Vector Data Description for novelty detection
inferredcites →https://doi.org/10.1109/ijcnn.2016.7727609openalex-snapshot
Fast Kernel-based method for anomaly detection
inferredcites →https://doi.org/10.1109/ijcnn.2019.8851923openalex-snapshot
Deep Domain Adaptation for Vulnerable Code Function Identification
inferredcites →https://doi.org/10.1109/ijcnn52387.2021.9533907openalex-snapshot
Information-theoretic Source Code Vulnerability Highlighting
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/msr52588.2021.00049openalex-snapshot
JITLine: A Simpler, Better, Faster, Finer-grained Just-In-Time Defect Prediction
inferredcites →https://doi.org/10.1109/nics.2015.7302229openalex-snapshot
Adaptable linear support vector machine
inferredcites →https://doi.org/10.1109/sp.2017.62openalex-snapshot
VUDDY: A Scalable Approach for Vulnerable Code Clone Discovery
inferredcites →https://doi.org/10.1109/sp54263.2024.00019openalex-snapshot
"False negative - that one is going to kill you": Understanding Industry Perspectives of Static Analysis based Security Testing
inferredcites →https://doi.org/10.1109/tdsc.2020.2984505openalex-snapshot
CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation
inferredcites →https://doi.org/10.1109/tii.2018.2821768openalex-snapshot
Cross-Project Transfer Representation Learning for Vulnerable Function Discovery
inferredcites →https://doi.org/10.1109/tpami.2018.2858826openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/tse.2010.81openalex-snapshot
Evaluating Complexity, Code Churn, and Developer Activity Metrics as Indicators of Software Vulnerabilities
inferredcites →https://doi.org/10.1109/tse.2018.2881961openalex-snapshot
Automatic Feature Learning for Predicting Vulnerable Software Components
inferredcites →https://doi.org/10.1109/tse.2020.3023177openalex-snapshot
Predicting Defective Lines Using a Model-Agnostic Technique
inferredcites →https://doi.org/10.1109/tse.2022.3144348openalex-snapshot
DeepLineDP: Towards a Deep Learning Approach for Line-Level Defect Prediction
inferredcites →https://doi.org/10.1109/tse.2023.3305244openalex-snapshot
VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types
inferredcites →https://doi.org/10.1145/1150402.1150429openalex-snapshot
Training linear SVMs in linear time
inferredcites →https://doi.org/10.1145/1273496openalex-snapshot
Proceedings of the 24th international conference on Machine learning
inferredcites →https://doi.org/10.1145/1273496.1273611openalex-snapshot
Simpler core vector machines with enclosing balls
inferredcites →https://doi.org/10.1145/1315245.1315311openalex-snapshot
Predicting vulnerable software components
inferredcites →https://doi.org/10.1145/2857705.2857720openalex-snapshot
Toward Large-Scale Vulnerability Discovery using Machine Learning
inferredcites →https://doi.org/10.1145/3540250.3549098openalex-snapshot
VulRepair: a T5-based automated software vulnerability repair
inferredcites →https://doi.org/10.1145/3632746openalex-snapshot
Vision Transformer Inspired Automated Vulnerability Repair
inferredcites →https://doi.org/10.1145/3643674openalex-snapshot
Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues
inferredcites →https://doi.org/10.1145/3678167openalex-snapshot
Automatically Recommend Code Updates: Are We There Yet?
inferredcites →https://doi.org/10.1145/3712190openalex-snapshot
AI for DevSecOps: A Landscape and Future Opportunities
inferredcites →https://doi.org/10.1162/089976601750264965openalex-snapshot
Estimating the Support of a High-Dimensional Distribution
inferredcites →https://doi.org/10.1214/009053607000000677openalex-snapshot
Kernel methods in machine learning
inferredcites →https://doi.org/10.1609/aaai.v34i04.5745openalex-snapshot
HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation
inferredcites →https://doi.org/10.1613/jair.953openalex-snapshot
SMOTE: Synthetic Minority Over-sampling Technique
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.139openalex-snapshot
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
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.2020/454openalex-snapshot
Smart Contract Vulnerability Detection using Graph Neural Network
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-snapshot
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.48550/arxiv.1402.1128openalex-snapshot
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition
inferredcites →https://doi.org/10.48550/arxiv.1409.2329openalex-snapshot
Recurrent Neural Network Regularization
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot
Semi-Supervised Classification with Graph Convolutional Networks
inferredcites →https://doi.org/10.48550/arxiv.1709.03831openalex-snapshot
Dual Discriminator Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.2002.08155openalex-snapshot
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
inferredcites →https://doi.org/10.48550/arxiv.2007.07314openalex-snapshot
Long-tail learning via logit adjustment
inferredcites →https://doi.org/10.48550/arxiv.2209.10414openalex-snapshot
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning
inferredcites →https://doi.org/10.5167/uzh-25785openalex-snapshot
Cross-project defect prediction: a large scale experiment on data vs. domain vs. process
inferredcites →https://doi.org/10.52202/085713openalex-snapshot
Advances in Neural Information Processing Systems 19
inferredcites →https://doi.org/10.5555/1046920.1058114openalex-snapshot
Core Vector Machines: Fast SVM Training on Very Large Data Sets
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10664-025-10749-4openalex-snapshot
A zero-shot framework for cross-project vulnerability detection in source code
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.114683openalex-snapshot
A hierarchical domain adaptive explainable vulnerability detection scheme for power systems based on dynamic slicing enhancement
inferred← citeshttps://doi.org/10.1016/j.infsof.2026.108015openalex-snapshot
CSVD-AES: Cross-project software vulnerability detection based on active learning with metric fusion
inferred← citeshttps://doi.org/10.1109/ccns66849.2025.11337967openalex-snapshot
Transfer-Guided Konwledge Distillation for Enhancing Cross-Project Vulnerability Detection
inferred← citeshttps://doi.org/10.1109/iisa71656.2026.11705518openalex-snapshot
On the Effects of Parameter Optimization in Cross-Project Vulnerability Detection: A Preliminary Replication Study of CPDP
inferred← citeshttps://doi.org/10.1109/tnnls.2025.3565728openalex-snapshot
Adaptive Hardness-Driven Augmentation and Alignment Strategies for Multisource Domain Adaptations
inferred← citeshttps://doi.org/10.1111/exsy.70327openalex-snapshot
KDSA ‐ VD : Optimizing Cross‐Project Vulnerability Detection Through Dual‐Driven Fusion of Knowledge Distillation and Structural Alignment
inferred← citeshttps://doi.org/10.1145/3699711openalex-snapshot
A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning
inferred← citeshttps://doi.org/10.1145/3708821.3736208openalex-snapshot
SAFE: A Novel Approach For Software Vulnerability Detection from Enhancing The Capability of Large Language Models
inferred← citeshttps://doi.org/10.1145/3808197openalex-snapshot
Three Heads Are Better Than One: A Multi-perspective Reasoning Framework for Enhanced Vulnerability Detection
inferred← citeshttps://doi.org/10.1145/3817604openalex-snapshot
LEO: An Information-theoretic Learning-based Approach for Identifying Out-of-distribution Source Code in Software Systems
inferred← citeshttps://doi.org/10.1145/3856304openalex-snapshot
IFMA-VD: Boosting Vulnerability Detection with Inter-function Multilateral Association Insights
inferred← citeshttps://doi.org/10.3390/app16031586openalex-snapshot
Progressive Prototype Alignment with Entropy Regularization for Cross-Project Software Vulnerability Detection
inferred← citeshttps://doi.org/10.3390/math14050780openalex-snapshot
Data-Driven Transferable Modeling for Cross-Project Software Vulnerability Detection via Dual-Feature Stacking Ensemble
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