Machine Learning · Statistics
Non-Negative Networks Against Adversarial Attacks
William Fleshman, Edward Raff, Jared Sylvester, Steven Forsyth +1
2019-01-07
Machine Learning · Computer Science
Adversarial Classifier for Imbalanced Problems
Ehsan Montahaei, Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee
2018-11-22
Machine Learning · Computer Science
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
Jonathan Uesato, Brendan O'Donoghue, Aaron van den Oord, Pushmeet Kohli
2018-06-13
Machine Learning · Computer Science
Combating Adversaries with Anti-Adversaries
Motasem Alfarra, Juan C. Pérez, Ali Thabet, Adel Bibi +2
2021-12-17
Machine Learning · Computer Science
Monge blunts Bayes: Hardness Results for Adversarial Training
Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong +2
2019-05-09
Machine Learning · Computer Science
Adversarial Examples from Cryptographic Pseudo-Random Generators
Sébastien Bubeck, Yin Tat Lee, Eric Price, Ilya Razenshteyn
2018-11-16
Computer Vision and Pattern Recognition · Computer Science
Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria
Nuoyan Zhou, Nannan Wang, Decheng Liu, Dawei Zhou +1
2023-11-21
Machine Learning · Computer Science
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks
Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang
2020-10-27