LatentPoison – Adversarial Attacks On The Latent Space
Authors: Antonia Creswell, Anil A. Bharath, Biswa Sengupta | Published: 2017-11-08
モデルの頑健性保証
Provable defenses against adversarial examples via the convex outer adversarial polytope
Authors: Eric Wong, J. Zico Kolter | Published: 2017-11-02 | Updated: 2018-06-08
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
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
Bayesian Hypernetworks
Authors: David Krueger, Chin-Wei Huang, Riashat Islam, Ryan Turner, Alexandre Lacoste, Aaron Courville | Published: 2017-10-13 | Updated: 2018-04-24
Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification
Authors: Xiaoyu Cao, Neil Zhenqiang Gong | Published: 2017-09-17 | Updated: 2019-12-31
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples
Authors: Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh | Published: 2017-09-13 | Updated: 2018-02-10
Ensemble Methods as a Defense to Adversarial Perturbations Against Deep Neural Networks
Authors: Thilo Strauss, Markus Hanselmann, Andrej Junginger, Holger Ulmer | Published: 2017-09-11 | Updated: 2018-02-08
Towards Proving the Adversarial Robustness of Deep Neural Networks
Authors: Guy Katz, Clark Barrett, David L. Dill, Kyle Julian, Mykel J. Kochenderfer | Published: 2017-09-08