Asymptotic Behavior of Adversarial Training in Binary Classification
Authors: Hossein Taheri, Ramtin Pedarsani, Christos Thrampoulidis | Published: 2020-10-26 | Updated: 2021-07-14
Regularization
New Interpretations of Normalization Methods in Deep Learning
Authors: Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li | Published: 2020-06-16
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers
Authors: Loc Truong, Chace Jones, Brian Hutchinson, Andrew August, Brenda Praggastis, Robert Jasper, Nicole Nichols, Aaron Tuor | Published: 2020-04-24
Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers
Authors: Chen Zhu, Renkun Ni, Ping-yeh Chiang, Hengduo Li, Furong Huang, Tom Goldstein | Published: 2020-02-22
Towards Certifiable Adversarial Sample Detection
Authors: Ilia Shumailov, Yiren Zhao, Robert Mullins, Ross Anderson | Published: 2020-02-20
Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation
Authors: Xin Wang, Hideaki Ishii, Linkang Du, Peng Cheng, Jiming Chen | Published: 2019-07-30 | Updated: 2019-09-09
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
Robust Attribution Regularization
Authors: Jiefeng Chen, Xi Wu, Vaibhav Rastogi, Yingyu Liang, Somesh Jha | Published: 2019-05-23 | Updated: 2019-10-26
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization
Authors: Daniel Jakubovitz, Raja Giryes | Published: 2018-03-23 | Updated: 2019-05-28