What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space

18 January 2021

Papers citing "What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space"

7 / 7 papers shown

Title
Beating Backdoor Attack at Its Own Game Min Liu Alberto L. Sangiovanni-Vincentelli Xiangyu Yue AAML 65 11 0 28 Jul 2023
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 212 345 0 15 Dec 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li X. Lyu Nodens Koren Lingjuan Lyu Bo-wen Li Xingjun Ma OnRL 31 322 0 22 Oct 2021
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 45 590 0 17 Jul 2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles Ranjie Duan Xingjun Ma Yisen Wang James Bailey •. A. K. Qin Yun Yang AAML 167 224 0 08 Mar 2020
Clean-Label Backdoor Attacks on Video Recognition Models Shihao Zhao Xingjun Ma Xiang Zheng James Bailey Jingjing Chen Yu-Gang Jiang AAML 198 252 0 06 Mar 2020
Benefits of depth in neural networks Matus Telgarsky 153 603 0 14 Feb 2016