CopyCAT: Taking Control of Neural Policies with Constant Attacks
Authors: Léonard Hussenot, Matthieu Geist, Olivier Pietquin | Published: 2019-05-29 | Updated: 2020-01-21
A Topology Layer for Machine Learning
Authors: Rickard Brüel-Gabrielsson, Bradley J. Nelson, Anjan Dwaraknath, Primoz Skraba, Leonidas J. Guibas, Gunnar Carlsson | Published: 2019-05-29 | Updated: 2020-04-24
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over Simplex
Authors: Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue | Published: 2019-05-29 | Updated: 2019-09-26
An Investigation of Data Poisoning Defenses for Online Learning
Authors: Yizhen Wang, Somesh Jha, Kamalika Chaudhuri | Published: 2019-05-28 | Updated: 2020-02-19
Certifiably Robust Interpretation in Deep Learning
Authors: Alexander Levine, Sahil Singla, Soheil Feizi | Published: 2019-05-28 | Updated: 2019-10-17
Differential Privacy Has Disparate Impact on Model Accuracy
Authors: Eugene Bagdasaryan, Vitaly Shmatikov | Published: 2019-05-28 | Updated: 2019-10-27
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks
Authors: Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin | Published: 2019-05-28
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Authors: Yuzhe Yang, Guo Zhang, Dina Katabi, Zhi Xu | Published: 2019-05-28
Controlling Neural Level Sets
Authors: Matan Atzmon, Niv Haim, Lior Yariv, Ofer Israelov, Haggai Maron, Yaron Lipman | Published: 2019-05-28 | Updated: 2019-10-27
Snooping Attacks on Deep Reinforcement Learning
Authors: Matthew Inkawhich, Yiran Chen, Hai Li | Published: 2019-05-28 | Updated: 2020-01-15