A3T: Adversarially Augmented Adversarial Training
Authors: Akram Erraqabi, Aristide Baratin, Yoshua Bengio, Simon Lacoste-Julien | Published: 2018-01-12
ロバスト性向上手法
Spatially Transformed Adversarial Examples
Authors: Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song | Published: 2018-01-08 | Updated: 2018-01-09
Building Robust Deep Neural Networks for Road Sign Detection
Authors: Arkar Min Aung, Yousef Fadila, Radian Gondokaryono, Luis Gonzalez | Published: 2017-12-26
Improving Network Robustness against Adversarial Attacks with Compact Convolution
Authors: Rajeev Ranjan, Swami Sankaranarayanan, Carlos D. Castillo, Rama Chellappa | Published: 2017-12-03 | Updated: 2018-03-22
Attacking Binarized Neural Networks
Authors: Angus Galloway, Graham W. Taylor, Medhat Moussa | Published: 2017-11-01 | Updated: 2018-01-31
Attacking the Madry Defense Model with $L_1$-based Adversarial Examples
Authors: Yash Sharma, Pin-Yu Chen | Published: 2017-10-30 | Updated: 2018-07-27
Certifying Some Distributional Robustness with Principled Adversarial Training
Authors: Aman Sinha, Hongseok Namkoong, Riccardo Volpi, John Duchi | Published: 2017-10-29 | Updated: 2020-05-01
Boosting Adversarial Attacks with Momentum
Authors: Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li | Published: 2017-10-17 | Updated: 2018-03-22
Robust Decentralized Learning Using ADMM with Unreliable Agents
Authors: Qunwei Li, Bhavya Kailkhura, Ryan Goldhahn, Priyadip Ray, Pramod K. Varshney | Published: 2017-10-14 | Updated: 2018-05-21