CoopHance: Cooperative Enhancement for Robustness of Deep Learning Systems

Author:

Zhang Quan1,Tian Yongqiang2,Ding Yifeng3,Li Shanshan4,Sun Chengnian2,Jiang Yu1,Sun Jiaguang1

Affiliation:

1. Tsinghua University, China

2. University of Waterloo, Canada

3. University of Illinois at Urbana-Champaign, USA

4. National University of Defense Technology, China

Publisher

ACM

Reference47 articles.

1. Mahdieh Abbasi and Christian Gagné . 2017 . Robustness to Adversarial Examples through an Ensemble of Specialists . In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings. OpenReview.net. https://openreview.net/forum?id=S1cYxlSFx Mahdieh Abbasi and Christian Gagné. 2017. Robustness to Adversarial Examples through an Ensemble of Specialists. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Workshop Track Proceedings. OpenReview.net. https://openreview.net/forum?id=S1cYxlSFx

2. Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

3. Anish Athalye , Nicholas Carlini , and David Wagner . 2018 . Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples . In Proceedings of the 35th International Conference on Machine Learning. PMLR, 274–283 . Anish Athalye, Nicholas Carlini, and David Wagner. 2018. Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples. In Proceedings of the 35th International Conference on Machine Learning. PMLR, 274–283.

4. Recent Advances in Adversarial Training for Adversarial Robustness

5. Mariusz Bojarski , Davide Del Testa , Daniel Dworakowski, Bernhard Firner , Beat Flepp, Prasoon Goyal, Lawrence D. Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, and Karol Zieba. 2016 . End to End Learning for Self-Driving Cars . arxiv:1604.07316. Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal, Lawrence D. Jackel, Mathew Monfort, Urs Muller, Jiakai Zhang, Xin Zhang, Jake Zhao, and Karol Zieba. 2016. End to End Learning for Self-Driving Cars. arxiv:1604.07316.

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