GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification
Authors: Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde | Published: 2019-05-27 | Updated: 2022-10-01
ポイズニング
Non-Determinism in Neural Networks for Adversarial Robustness
Authors: Daanish Ali Khan, Linhong Li, Ninghao Sha, Zhuoran Liu, Abelino Jimenez, Bhiksha Raj, Rita Singh | Published: 2019-05-26
A Direct Approach to Robust Deep Learning Using Adversarial Networks
Authors: Huaxia Wang, Chun-Nam Yu | Published: 2019-05-23
Deep Reinforcement Learning for Detecting Malicious Websites
Authors: Moitrayee Chatterjee, Akbar Siami Namin | Published: 2019-05-22
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder
Authors: Ji Feng, Qi-Zhi Cai, Zhi-Hua Zhou | Published: 2019-05-22
POPQORN: Quantifying Robustness of Recurrent Neural Networks
Authors: Ching-Yun Ko, Zhaoyang Lyu, Tsui-Wei Weng, Luca Daniel, Ngai Wong, Dahua Lin | Published: 2019-05-17
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization
Authors: Seungyong Moon, Gaon An, Hyun Oh Song | Published: 2019-05-16 | Updated: 2022-10-18
Data Poisoning Attacks on Stochastic Bandits
Authors: Fang Liu, Ness Shroff | Published: 2019-05-16
On Norm-Agnostic Robustness of Adversarial Training
Authors: Bai Li, Changyou Chen, Wenlin Wang, Lawrence Carin | Published: 2019-05-15
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets
Authors: Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein | Published: 2019-05-15 | Updated: 2019-05-16