most citedMaXsive: High-Capacity and Robust Training-Free Generative Image Watermarking in Diffusion Models

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cs.LG2024★ 1 cited

Adversarial Robustness Overestimation and Instability in TRADES

Jonathan Weiping Li, Ren-Wei Liang, Cheng-Han Yeh +4

This paper examines the phenomenon of probabilistic robustness overestimation in TRADES, a prominent adversarial training method. Our study reveals that TRADES sometimes yields dis…

cs.LG2024

Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost

Cheng-Han Yeh, Kuanchun Yu, Chun-Shien Lu

Deep learning models are known to be vulnerable to adversarial attacks by injecting sophisticated designed perturbations to input data. Training-time defenses still exhibit a signi…