ReLATE+ detects adversarial attacks in time-series data, classifies attack family, and selects a resilient model via dataset similarity, reporting near-Oracle accuracy with roughly 78% lower overhead.
A robust framework for evaluation of unsupervised time-series anomaly detec- tion,
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ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification
ReLATE+ detects adversarial attacks in time-series data, classifies attack family, and selects a resilient model via dataset similarity, reporting near-Oracle accuracy with roughly 78% lower overhead.