@inproceedings{dohmatob2024precise,
author = {Dohmatob, Elvis and Scetbon, Meyer},
title = {Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms},
booktitle = {ICML 2024},
year = {2024},
month = {May},
abstract = {We investigate the impact of test-time adversarial attacks on linear regression models and determine the optimal level of robustness that any model can reach while maintaining a given level of standard predictive performance (accuracy). Through quantitative estimates, we uncover fundamental tradeoffs between adversarial robustness and accuracy in different regimes. We obtain a precise characterization which distinguishes between regimes where robustness is achievable without hurting standard accuracy and regimes where a tradeoff might be unavoidable. Our findings are empirically confirmed with simple experiments that represent a variety of settings. This work covers feature covariance matrices and attack norms of any nature, extending previous works in this area.},
url = {http://approjects.co.za/?big=en-us/research/publication/precise-accuracy-robustness-tradeoffs-in-regression-case-of-general-norms/},
}