對抗健壯性的研究非常具有挑戰性。在衆多研究方向中，存在一些相應的進展。本篇論文是一個較清楚的整理，有助於大家更好地理解對抗網絡的工作機制。
On Evaluating Adversarial Robustness
Authors: Nicholas Carlini1, Anish Athalye2, Nicolas Papernot1, Wieland Brendel3, Jonas Rauber3,
Dimitris Tsipras2, Ian Goodfellow1, Aleksander Mądry2
Institutes: 1 Google Brain 2 MIT 3 University of Tübingen
Correctly evaluating defenses against adversarial examples has proven to be extremely difficult. Despite the significant amount of recent work attempting to design defenses that withstand adaptive attacks, few have succeeded; most papers that propose defenses are quickly shown to be incorrect.
We believe a large contributing factor is the difficulty of performing security evaluations. In this paper, we discuss the methodological foundations, review commonly accepted best practices, and suggest new methods for evaluating defenses to adversarial examples. We hope that both researchers developing defenses as well as readers and reviewers who wish to understand the completeness of an evaluation consider our advice in order to avoid common pitfalls.