Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance

29 January 2020

Papers citing "Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance"

4 / 4 papers shown

Title
Distributionally Time-Varying Online Stochastic Optimization under Polyak-Łojasiewicz Condition with Application in Conditional Value-at-Risk Statistical Learning Yuen-Man Pun Farhad Farokhi Iman Shames 30 2 0 18 Sep 2023
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training Lue Tao Lei Feng Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 143 73 0 09 Feb 2021
Distributionally-Robust Machine Learning Using Locally Differentially-Private Data F. Farokhi FedML OOD 72 8 0 24 Jun 2020
Online Stochastic Convex Optimization: Wasserstein Distance Variation Iman Shames F. Farokhi 18 9 0 02 Jun 2020