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藲Department of Electrical Engineering and Computer Science, Department of Computer Science, Department of Electrical and Computer Engineering, University of Tennessee, The University of Illinois at Springfield, Clemson University
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Adversarial attacks on DNNs in power grids can be thwarted with a simple padding technique that makes evasion nearly impossible.
By unifying temporal and visual modalities with fine-grained alignment, VETime leapfrogs existing approaches to achieve state-of-the-art zero-shot time series anomaly detection.
