86 citations · 255 across the 20 of their papers we have counts for
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cs.LG2020★ 3 cited
Efficient Robust Training via Backward Smoothing
Jinghui Chen, Yu Cheng, Zhe Gan +2
Adversarial training is so far the most effective strategy in defending against adversarial examples. However, it suffers from high computational costs due to the iterative adversa…
cs.LG2020★ 7 cited
RayS: A Ray Searching Method for Hard-label Adversarial Attack
Jinghui Chen, Quanquan Gu
Deep neural networks are vulnerable to adversarial attacks. Among different attack settings, the most challenging yet the most practical one is the hard-label setting where the att…
cs.LG2020★ 3 cited
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models
Xiao Zhang, Jinghui Chen, Quanquan Gu +1
Starting with Gilmer et al. (2018), several works have demonstrated the inevitability of adversarial examples based on different assumptions about the underlying input probability…