Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural Networks
Authors: Kathrin Grosse, Taesung Lee, Battista Biggio, Youngja Park, Michael Backes, Ian Molloy | Published: 2020-06-11 | Updated: 2021-11-02
AIセキュリティポータルbot
Smoothed Geometry for Robust Attribution
Authors: Zifan Wang, Haofan Wang, Shakul Ramkumar, Matt Fredrikson, Piotr Mardziel, Anupam Datta | Published: 2020-06-11 | Updated: 2020-10-22
Interpolation between Residual and Non-Residual Networks
Authors: Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi | Published: 2020-06-10 | Updated: 2020-08-16
Low Distortion Block-Resampling with Spatially Stochastic Networks
Authors: Sarah Jane Hong, Martin Arjovsky, Darryl Barnhart, Ian Thompson | Published: 2020-06-09 | Updated: 2020-12-10
On the Effectiveness of Regularization Against Membership Inference Attacks
Authors: Yigitcan Kaya, Sanghyun Hong, Tudor Dumitras | Published: 2020-06-09
Approximating Lipschitz continuous functions with GroupSort neural networks
Authors: Ugo Tanielian, Maxime Sangnier, Gerard Biau | Published: 2020-06-09 | Updated: 2021-02-08
Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning
Authors: Andrei Boiarov, Oleg Granichin, Olga Granichina | Published: 2020-06-09
Stealing Deep Reinforcement Learning Models for Fun and Profit
Authors: Kangjie Chen, Shangwei Guo, Tianwei Zhang, Xiaofei Xie, Yang Liu | Published: 2020-06-09 | Updated: 2020-12-22
Secure Byzantine-Robust Machine Learning
Authors: Lie He, Sai Praneeth Karimireddy, Martin Jaggi | Published: 2020-06-08 | Updated: 2020-10-18
Trade-offs between membership privacy & adversarially robust learning
Authors: Jamie Hayes | Published: 2020-06-08 | Updated: 2022-01-08