Private Post-GAN Boosting
Authors: Marcel Neunhoeffer, Zhiwei Steven Wu, Cynthia Dwork | Published: 2020-07-23 | Updated: 2021-03-25
Robust Machine Learning via Privacy/Rate-Distortion Theory
Authors: Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin | Published: 2020-07-22 | Updated: 2021-05-18
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Authors: Yansong Gao, Bao Gia Doan, Zhi Zhang, Siqi Ma, Jiliang Zhang, Anmin Fu, Surya Nepal, Hyoungshick Kim | Published: 2020-07-21 | Updated: 2020-08-02
How Does Data Augmentation Affect Privacy in Machine Learning?
Authors: Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu | Published: 2020-07-21 | Updated: 2021-02-26
Scaling Polyhedral Neural Network Verification on GPUs
Authors: Christoph Müller, François Serre, Gagandeep Singh, Markus Püschel, Martin Vechev | Published: 2020-07-20 | Updated: 2021-05-18
Adversarial Immunization for Certifiable Robustness on Graphs
Authors: Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng | Published: 2020-07-19 | Updated: 2021-08-25
Neural Networks with Recurrent Generative Feedback
Authors: Yujia Huang, James Gornet, Sihui Dai, Zhiding Yu, Tan Nguyen, Doris Y. Tsao, Anima Anandkumar | Published: 2020-07-17 | Updated: 2020-11-10
Learning perturbation sets for robust machine learning
Authors: Eric Wong, J. Zico Kolter | Published: 2020-07-16 | Updated: 2020-10-08
Data Poisoning Attacks Against Federated Learning Systems
Authors: Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu | Published: 2020-07-16 | Updated: 2020-08-11
On Adversarial Robustness: A Neural Architecture Search perspective
Authors: Chaitanya Devaguptapu, Devansh Agarwal, Gaurav Mittal, Pulkit Gopalani, Vineeth N Balasubramanian | Published: 2020-07-16 | Updated: 2021-08-26