Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization

Item #:

068431-2715

Details

DOI: https://doi.org/10.52202/068431-2715
Author(s): Steve Hanneke, Omar Montasser, Nati Srebro
Pages: 37458-37470 (13 pages)
Format: PDF Paper Download
Conference: Advances in Neural Information Processing Systems 35
Date/Location: Held 28 November - 9 December 2022, New Orleans, Louisiana, USA.
Series: Advances in Neural Information Processing Systems 35
Publisher: Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DOI: https://doi.org/10.52202/068431-2715
Author(s): Steve Hanneke, Omar Montasser, Nati Srebro
Pages: 37458-37470 (13 pages)
Format: PDF Paper Download
Conference: Advances in Neural Information Processing Systems 35
Date/Location: Held 28 November - 9 December 2022, New Orleans, Louisiana, USA.
Series: Advances in Neural Information Processing Systems 35
Publisher: Neural Information Processing Systems Foundation, Inc. (NeurIPS)