Understanding Gradient Clipping in Private SGD: A Geometric Perspective
Authors: Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong | Published: 2020-06-27 | Updated: 2021-03-18
Optimization Methods
Provably Robust Metric Learning
Authors: Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh | Published: 2020-06-12 | Updated: 2020-12-19
Identifying Vulnerabilities of Industrial Control Systems using Evolutionary Multiobjective Optimisation
Authors: Nilufer Tuptuk, Stephen Hailes | Published: 2020-05-27
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation
Authors: Sanjay Kariyappa, Atul Prakash, Moinuddin Qureshi | Published: 2020-05-06 | Updated: 2022-10-28
Local Differential Privacy based Federated Learning for Internet of Things
Authors: Yang Zhao, Jun Zhao, Mengmeng Yang, Teng Wang, Ning Wang, Lingjuan Lyu, Dusit Niyato, Kwok-Yan Lam | Published: 2020-04-19 | Updated: 2020-12-22
Poisoning Attacks on Algorithmic Fairness
Authors: David Solans, Battista Biggio, Carlos Castillo | Published: 2020-04-15 | Updated: 2020-06-26
Hidden Cost of Randomized Smoothing
Authors: Jeet Mohapatra, Ching-Yun Ko, Tsui-Wei, Weng, Sijia Liu, Pin-Yu Chen, Luca Daniel | Published: 2020-03-02 | Updated: 2021-03-12
Bayesian Neural Networks With Maximum Mean Discrepancy Regularization
Authors: Jary Pomponi, Simone Scardapane, Aurelio Uncini | Published: 2020-03-02 | Updated: 2020-09-30
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
Authors: Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang | Published: 2020-01-08 | Updated: 2022-03-14
Toward Optimal Adversarial Policies in the Multiplicative Learning System with a Malicious Expert
Authors: S. Rasoul Etesami, Negar Kiyavash, Vincent Leon, H. Vincent Poor | Published: 2020-01-02 | Updated: 2020-09-18