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arXiv cs.AIOctober 7, 2026

Beyond TVLA: Anderson-Darling Leakage Assessment for Neural Network Side-Channel Leakage Detection

Excerpt

arXiv:2603.18647v2 Announce Type: replace-cross Abstract: Test Vector Leakage Assessment (TVLA) is widely used for side-channel leakage detection, but its reliance on Welch's t-test makes it primarily sensitive to differences in the means of two leakage populations. Consequently, TVLA may fail to detect leakage that manifests through changes in other characteristics of the underlying distributions. We introduce Anderson-Darling Leakage Assessment (ADLA), a distribution-sensitive leakage assessme