Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
Authors: Aniket Das, Bernhard Schölkopf, Michael Muehlebach | Published: 2022-06-07 | Updated: 2022-10-10
Convergence analysis
Combined Learning of Neural Network Weights for Privacy in Collaborative Tasks
Authors: Aline R. Ioste, Alan M. Durham, Marcelo Finger | Published: 2022-04-30
Optimal Accounting of Differential Privacy via Characteristic Function
Authors: Yuqing Zhu, Jinshuo Dong, Yu-Xiang Wang | Published: 2021-06-16 | Updated: 2022-05-31
Stochastic Alternating Direction Method of Multipliers for Byzantine-Robust Distributed Learning
Authors: Feng Lin, Weiyu Li, Qing Ling | Published: 2021-06-13
A simple way to make neural networks robust against diverse image corruptions
Authors: Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel | Published: 2020-01-16 | Updated: 2020-07-22
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning
Authors: Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, Cho-Jui Hsieh | Published: 2019-10-30
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization
Authors: Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang | Published: 2019-05-29 | Updated: 2019-07-30
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack
Authors: Haishan Ye, Zhichao Huang, Cong Fang, Chris Junchi Li, Tong Zhang | Published: 2018-12-29 | Updated: 2019-03-20
Thwarting Adversarial Examples: An $L_0$-RobustSparse Fourier Transform
Authors: Mitali Bafna, Jack Murtagh, Nikhil Vyas | Published: 2018-12-12
Resilient Learning-Based Control for Synchronization of Passive Multi-Agent Systems under Attack
Authors: Arash Rahnama, Panos J. Antsaklis | Published: 2017-09-28