Faults That Fortify: CNN Adversarial Robustness via GPU Undervolting
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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 expensive, a burden that grows as learning shifts to the energy-constrained edge. Thi…
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- 2026-08-24 04:00 · arXiv cs.LG
Faults That Fortify: CNN Adversarial Robustness via GPU Undervolting