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From Explanation to Localization: A Causal XAI Framework for Understanding and Improving Transformer-Based Vulnerability Detection

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

inferredcites →https://doi.org/10.1109/access.2024.3396410openalex-snapshot

DB-CBIL: A DistilBert-Based Transformer Hybrid Model Using CNN and BiLSTM for Software Vulnerability Detection

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/icse48619.2023.00188openalex-snapshot

An Empirical Study of Deep Learning Models for Vulnerability Detection

inferredcites →https://doi.org/10.1109/tse.2021.3087402openalex-snapshot

Deep Learning Based Vulnerability Detection: Are We There Yet?

inferredcites →https://doi.org/10.1109/tse.2023.3329667openalex-snapshot

Mitigating False Positive Static Analysis Warnings: Progress, Challenges, and Opportunities

inferredcites →https://doi.org/10.1145/3468264.3468597openalex-snapshot

Vulnerability detection with fine-grained interpretations

inferredcites →https://doi.org/10.1145/3494521openalex-snapshot

Survey of Approaches for Postprocessing of Static Analysis Alarms

inferredcites →https://doi.org/10.1145/3533767.3534371openalex-snapshot

Path-sensitive code embedding via contrastive learning for software vulnerability detection

inferredcites →https://doi.org/10.1145/3564625.3567985openalex-snapshot

Transformer-Based Language Models for Software Vulnerability Detection

inferredcites →https://doi.org/10.1145/3610721openalex-snapshot

Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions

inferredcites →https://doi.org/10.1145/3641543openalex-snapshot

Beyond Fidelity: Explaining Vulnerability Localization of Learning-Based Detectors

inferredcites →https://doi.org/10.18653/v1/2021.emnlp-main.685openalex-snapshot

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.68openalex-snapshot

CodeT5+: Open Code Large Language Models for Code Understanding and Generation

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