103 citations · 469 across the 31 of their papers we have counts for
4 papers · 1 filter
Self-Progressing Robust Training
Minhao Cheng, Pin-Yu Chen, Sijia Liu +3
Enhancing model robustness under new and even adversarial environments is a crucial milestone toward building trustworthy machine learning systems. Current robust training methods…
Voting based ensemble improves robustness of defensive models
Devvrit, Minhao Cheng, Cho-Jui Hsieh +1
Developing robust models against adversarial perturbations has been an active area of research and many algorithms have been proposed to train individual robust models. Taking thes…
DrNAS: Dirichlet Neural Architecture Search
Xiangning Chen, Ruochen Wang, Minhao Cheng +2
This paper proposes a novel differentiable architecture search method by formulating it into a distribution learning problem. We treat the continuously relaxed architecture mixing…
CAT: Customized Adversarial Training for Improved Robustness
Minhao Cheng, Qi Lei, Pin-Yu Chen +2
Adversarial training has become one of the most effective methods for improving robustness of neural networks. However, it often suffers from poor generalization on both clean and…