Towards Understanding the Dynamics of the First-Order Adversaries

Towards Understanding the Dynamics of the First-Order Adversaries

20 October 2020

Weijie J. Su

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Papers citing "Towards Understanding the Dynamics of the First-Order Adversaries"

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Title
Reinforcement Learning with Stepwise Fairness Constraints Zhun Deng He Sun Zhiwei Steven Wu Linjun Zhang David C. Parkes FaML OffRL 83 11 0 08 Nov 2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data Zhun Deng Jiayao Zhang Linjun Zhang Ting Ye Yates Coley Weijie J. Su James Zou 94 17 0 06 Jun 2022
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Zou GAN 89 54 0 18 Jun 2021
Adversarial Training for Gradient Descent: Analysis Through its Continuous-time Approximation Haotian Gu Xin Guo Xinyu Li 50 1 0 17 May 2021
Dynamic Efficient Adversarial Training Guided by Gradient Magnitude Fu Lee Wang Yanghao Zhang Yanbin Zheng Wenjie Ruan 67 1 0 04 Mar 2021
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Zou UQCV 61 70 0 11 Feb 2021
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data Zhun Deng Linjun Zhang Amirata Ghorbani James Zou 90 32 0 15 Jun 2020