On the Sensitivity of Adversarial Robustness to Input Data Distributions

ICLR 2019 Gavin Weiguang DingKry Yik Chau LuiXiaomeng JinLuyu WangRuitong Huang

Neural networks are vulnerable to small adversarial perturbations. Existing literature largely focused on understanding and mitigating the vulnerability of learned models... (read more)

PDF Abstract


No code implementations yet. Submit your code now


Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper

🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet