A two-phase framework detects adversarial query sequences by identifying high-similarity subsequences with randomness and validating via soft-label temporal correlation, achieving TPR of 1.00 and FPR at most 0.06 on tested attacks while resisting an adaptive attack.
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Enhancing Stateful Detection of Adversarial Attacks with Soft-labels' Temporality and Robust Similarity Approximations
A two-phase framework detects adversarial query sequences by identifying high-similarity subsequences with randomness and validating via soft-label temporal correlation, achieving TPR of 1.00 and FPR at most 0.06 on tested attacks while resisting an adaptive attack.