Are Labels Required for Improving Adversarial Robustness?

Are Labels Required for Improving Adversarial Robustness?

31 May 2019

Jean-Baptiste Alayrac

Robert Stanforth

Alhussein Fawzi

Papers citing "Are Labels Required for Improving Adversarial Robustness?"

8 / 108 papers shown

Title
An Alternative Surrogate Loss for PGD-based Adversarial Testing Sven Gowal J. Uesato Chongli Qin Po-Sen Huang Timothy A. Mann Pushmeet Kohli AAML 50 89 0 21 Oct 2019
Metric Learning for Adversarial Robustness Chengzhi Mao Ziyuan Zhong Junfeng Yang Carl Vondrick Baishakhi Ray OOD 27 184 0 03 Sep 2019
Adversarial Training Can Hurt Generalization Aditi Raghunathan Sang Michael Xie Fanny Yang John C. Duchi Percy Liang 24 240 0 14 Jun 2019
Intriguing properties of adversarial training at scale Cihang Xie Alan Yuille AAML 13 68 0 10 Jun 2019
Do Image Classifiers Generalize Across Time? Vaishaal Shankar Achal Dave Rebecca Roelofs Deva Ramanan Benjamin Recht Ludwig Schmidt 20 82 0 05 Jun 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data Amir Najafi S. Maeda Masanori Koyama Takeru Miyato OOD 32 129 0 24 May 2019
MMA Training: Direct Input Space Margin Maximization through Adversarial Training G. Ding Yash Sharma Kry Yik-Chau Lui Ruitong Huang AAML 27 270 0 06 Dec 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 303 3,115 0 04 Nov 2016