Omar Montasser, Steve Hanneke, Nathan Srebro. VC Classes are Adversarially Robustly Learnable, but Only Improperly. In Alina Beygelzimer, Daniel Hsu 0001, editors, Conference on Learning Theory, COLT 2019, 25-28 June 2019, Phoenix, AZ, USA. Volume 99 of Proceedings of Machine Learning Research, pages 2512-2530, PMLR, 2019. [doi]
@inproceedings{MontasserHS19,
title = {VC Classes are Adversarially Robustly Learnable, but Only Improperly},
author = {Omar Montasser and Steve Hanneke and Nathan Srebro},
year = {2019},
url = {http://proceedings.mlr.press/v99/montasser19a.html},
researchr = {https://researchr.org/publication/MontasserHS19},
cites = {0},
citedby = {0},
pages = {2512-2530},
booktitle = {Conference on Learning Theory, COLT 2019, 25-28 June 2019, Phoenix, AZ, USA},
editor = {Alina Beygelzimer and Daniel Hsu 0001},
volume = {99},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}