Reducing Certified Regression to Certified Classification for General Poisoning Attacks
Authors: Zayd Hammoudeh, Daniel Lowd | Published: 2022-08-29 | Updated: 2022-12-29
ロバスト回帰
Surprises in adversarially-trained linear regression
Authors: Antônio H. Ribeiro, Dave Zachariah, Thomas B. Schön | Published: 2022-05-25 | Updated: 2022-10-20
Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks
Authors: Pascale Gourdeau, Varun Kanade, Marta Kwiatkowska, James Worrell | Published: 2022-05-12
Efficient Privacy Preserving Logistic Regression for Horizontally Distributed Data
Authors: Guanhong Miao | Published: 2022-02-05 | Updated: 2022-07-20
Robust Upper Bounds for Adversarial Training
Authors: Dimitris Bertsimas, Xavier Boix, Kimberly Villalobos Carballo, Dick den Hertog | Published: 2021-12-17 | Updated: 2023-04-06
Robust Distributed Optimization With Randomly Corrupted Gradients
Authors: Berkay Turan, Cesar A. Uribe, Hoi-To Wai, Mahnoosh Alizadeh | Published: 2021-06-28 | Updated: 2022-06-17
A Framework of Randomized Selection Based Certified Defenses Against Data Poisoning Attacks
Authors: Ruoxin Chen, Jie Li, Chentao Wu, Bin Sheng, Ping Li | Published: 2020-09-18 | Updated: 2020-10-13
Data Poisoning Attacks on Regression Learning and Corresponding Defenses
Authors: Nicolas Michael Müller, Daniel Kowatsch, Konstantin Böttinger | Published: 2020-09-15
Input Hessian Regularization of Neural Networks
Authors: Waleed Mustafa, Robert A. Vandermeulen, Marius Kloft | Published: 2020-09-14
Adversarial Attacks, Regression, and Numerical Stability Regularization
Authors: Andre T. Nguyen, Edward Raff | Published: 2018-12-07