Natural and Adversarial Error Detection using Invariance to Image Transformations
Authors: Yuval Bahat, Michal Irani, Gregory Shakhnarovich | Published: 2019-02-01
Optimal Attack against Autoregressive Models by Manipulating the Environment
Authors: Yiding Chen, Xiaojin Zhu | Published: 2019-02-01 | Updated: 2019-12-01
A New Family of Neural Networks Provably Resistant to Adversarial Attacks
Authors: Rakshit Agrawal, Luca de Alfaro, David Helmbold | Published: 2019-02-01
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Robustness
Authors: Li Xiao, Yijie Peng, Jeff Hong, Zewu Ke, Shuhuai Yang | Published: 2019-01-31 | Updated: 2019-07-11
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks
Authors: Alberto Marchisio, Giorgio Nanfa, Faiq Khalid, Muhammad Abdullah Hanif, Maurizio Martina, Muhammad Shafique | Published: 2019-01-28 | Updated: 2019-05-24
Utility Preserving Secure Private Data Release
Authors: Jasjeet Dhaliwal, Geoffrey So, Aleatha Parker-Wood, Melanie Beck | Published: 2019-01-28 | Updated: 2019-03-15
Do Not Return Similarity: Face Recovery with Distance
Authors: Mingtian Tan, Zhe Zhou | Published: 2019-01-28 | Updated: 2019-08-06
Bayesian Differential Privacy for Machine Learning
Authors: Aleksei Triastcyn, Boi Faltings | Published: 2019-01-28 | Updated: 2020-08-19
Interpretable Complex-Valued Neural Networks for Privacy Protection
Authors: Liyao Xiang, Haotian Ma, Hao Zhang, Yifan Zhang, Jie Ren, Quanshi Zhang | Published: 2019-01-28 | Updated: 2020-01-14
Improving Adversarial Robustness via Promoting Ensemble Diversity
Authors: Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu | Published: 2019-01-25 | Updated: 2019-05-29