A Theoretical View of Linear Backpropagation and Its Convergence
Authors: Ziang Li, Yiwen Guo, Haodi Liu, Changshui Zhang | Published: 2021-12-21 | Updated: 2024-01-10
Convergence Analysis
Random Noise Defense Against Query-Based Black-Box Attacks
Authors: Zeyu Qin, Yanbo Fan, Hongyuan Zha, Baoyuan Wu | Published: 2021-04-23 | Updated: 2021-10-30
Decentralized Federated Averaging
Authors: Tao Sun, Dongsheng Li, Bao Wang | Published: 2021-04-23
BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning
Authors: Heng Zhu, Qing Ling | Published: 2021-04-14 | Updated: 2022-04-11
Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model
Authors: Payam Delgosha, Hamed Hassani, Ramtin Pedarsani | Published: 2021-04-05
Buffered Asynchronous SGD for Byzantine Learning
Authors: Yi-Rui Yang, Wu-Jun Li | Published: 2020-03-02 | Updated: 2022-01-31
Universal Approximation with Certified Networks
Authors: Maximilian Baader, Matthew Mirman, Martin Vechev | Published: 2019-09-30 | Updated: 2020-01-14
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML
Authors: Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Minyi Hong, Una-May O'Reilly | Published: 2019-09-30 | Updated: 2020-06-17
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Authors: Minhao Cheng, Simranjit Singh, Patrick Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh | Published: 2019-09-24 | Updated: 2020-02-14
Differentially Private ADMM for Distributed Medical Machine Learning
Authors: Jiahao Ding, Xiaoqi Qin, Wenjun Xu, Yanmin Gong, Chi Zhang, Miao Pan | Published: 2019-01-07 | Updated: 2020-12-09