Adversarial Examples

FEVA-ICS: Benchmarking Adversarial Robustness of Machine Learning-based Intrusion Detection Systems in Industrial Control Systems
we introduce FEVA-ICS, a novel end-to-end benchmarking platform designed to assess ML-based IDS robustness in a realistic black-box setting
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Generating Less Certain Adversarial Examples Improves Robust Generalization
Build upon the notion of adversarial certainty, we develop a general training method to generate adversarial examples with reduced certainty for improving robust generalization.
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Understanding Adversarially Robust Generalization via Weight-Curvature Index
We introduce the Weight-Curvature Index (WCI), a novel metric that captures the interplay between model parameters and loss landscape curvature to better understand and improve adversarially robust generalization in deep learning.
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