Faults that fortify: CNN adversarial robustness via GPU undervolting
Read the original at arxiv.org→arXiv:2608.20572v1 Announce Type: new Abstract: Convolutional Neural Networks (CNNs) face a dual challenge: vulnerability to adversarial attacks and prohibitive training cost. Adversarial training is effective but...
Original headline: "Faults That Fortify: CNN Adversarial Robustness via GPU Undervolting"
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- Aug 24, 04:00 UTC arXiv cs.LG lead source Faults That Fortify: CNN Adversarial Robustness via GPU Undervolting