Adversarial Regression with Multiple Learners
Authors: Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik | Published: 2018-06-06
Adversarial Learning
Detecting Adversarial Examples via Key-based Network
Authors: Pinlong Zhao, Zhouyu Fu, Ou wu, Qinghua Hu, Jun Wang | Published: 2018-06-02
Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients
Authors: Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen | Published: 2018-05-23 | Updated: 2018-06-07
Constructing Unrestricted Adversarial Examples with Generative Models
Authors: Yang Song, Rui Shu, Nate Kushman, Stefano Ermon | Published: 2018-05-21 | Updated: 2018-12-02
Curriculum Adversarial Training
Authors: Qi-Zhi Cai, Min Du, Chang Liu, Dawn Song | Published: 2018-05-13
Gradient Masking Causes CLEVER to Overestimate Adversarial Perturbation Size
Authors: Ian Goodfellow | Published: 2018-04-21
Learning More Robust Features with Adversarial Training
Authors: Shuangtao Li, Yuanke Chen, Yanlin Peng, Lin Bai | Published: 2018-04-20
Adversarial Attacks Against Medical Deep Learning Systems
Authors: Samuel G. Finlayson, Hyung Won Chung, Isaac S. Kohane, Andrew L. Beam | Published: 2018-04-15 | Updated: 2019-02-04
Adversarial Training Versus Weight Decay
Authors: Angus Galloway, Thomas Tanay, Graham W. Taylor | Published: 2018-04-10 | Updated: 2018-07-23
Bypassing Feature Squeezing by Increasing Adversary Strength
Authors: Yash Sharma, Pin-Yu Chen | Published: 2018-03-27