Reducing Adversarially Robust Learning to Non-Robust PAC Learning

22 October 2020

Papers citing "Reducing Adversarially Robust Learning to Non-Robust PAC Learning"

11 / 11 papers shown

Title
Sample Compression Scheme Reductions Idan Attias Steve Hanneke Arvind Ramaswami MQ 42 1 0 16 Oct 2024
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 30 4 0 06 Apr 2023
Adaptive adversarial training method for improving multi-scale GAN based on generalization bound theory Jin-Lin Tang B. Tao Zeyu Gong Zhoupin Yin AI4CE 34 1 0 30 Nov 2022
When are Local Queries Useful for Robust Learning? Pascale Gourdeau Varun Kanade Marta Z. Kwiatkowska J. Worrell OOD 35 1 0 12 Oct 2022
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization Omar Montasser Steve Hanneke Nathan Srebro 29 17 0 15 Sep 2022
Robustly-reliable learners under poisoning attacks Maria-Florina Balcan Avrim Blum Steve Hanneke Dravyansh Sharma AAML OOD 26 14 0 08 Mar 2022
Adversarially Robust Learning with Tolerance H. Ashtiani Vinayak Pathak Ruth Urner AAML 23 9 0 02 Mar 2022
A Characterization of Semi-Supervised Adversarially-Robust PAC Learnability Idan Attias Steve Hanneke Yishay Mansour 30 15 0 11 Feb 2022
A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness Jacob D. Abernethy Pranjal Awasthi Satyen Kale AAML 27 6 0 01 Mar 2021
Agnostic Sample Compression Schemes for Regression Idan Attias Steve Hanneke A. Kontorovich Menachem Sadigurschi 24 4 0 03 Oct 2018
Adversarial examples from computational constraints Sébastien Bubeck Eric Price Ilya P. Razenshteyn AAML 65 230 0 25 May 2018