2 citations · 3 across the 6 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.CV2022★ 1 cited
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
Pengyue Hou, Jie Han, Xingyu Li
Deep Neural Networks are vulnerable to adversarial attacks. Among many defense strategies, adversarial training with untargeted attacks is one of the most effective methods. Theore…
cs.LG2022★ 2 cited
Adversarial Fine-tune with Dynamically Regulated Adversary
Pengyue Hou, Ming Zhou, Jie Han +2
Adversarial training is an effective method to boost model robustness to malicious, adversarial attacks. However, such improvement in model robustness often leads to a significant…