Venue: ICML 2021 Workshop AML

Reviews:

final_score: rating: Accept
review_content: This paper studied the problem of a trade-off between accuracy and robustness in existing defenses, and present a Helper-based Adversarial Training (HAT), to reduce this effect by incorporating additional wrongly labeled examples during training. In general, the paper is clearly written and easy to follow.  The authors are also encouraged to discuss other backbones to verify the consistent performance, e.g., wide-resnet family.

review_title: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off

Meta-review: A good work studying the trade-off between accuracy and robustness. The paper could provide insights for future research.
Decision: Accept (Oral)