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cs.CR2026
Beyond Gradient-Based Attacks: Adversarial Robustness and Explainability Stability in Cybersecurity Classifiers
Mona Rajhans, Vishal Khawarey
Adversarial attacks on cybersecurity classifiers pose a dual threat: degrading predictions and destabilising the SHAP-based explanations that security analysts rely on to understan…
cs.CR2026
Empirical Analysis of Adversarial Robustness and Explainability Drift in Cybersecurity Classifiers
Mona Rajhans, Vishal Khawarey
Machine learning (ML) models are increasingly deployed in cybersecurity applications such as phishing detection and network intrusion prevention. However, these models remain vulne…