Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization. Montasser, O., Hanneke, S., & Srebro, N. Advances in Neural Information Processing Systems, 2022.
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Paper bibtex 7 downloads
Paper bibtex 7 downloads @article{2022montasseradversarially,
title={Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization},
author={Montasser, Omar and Hanneke, Steve and Srebro, Nathan},
journal={Advances in Neural Information Processing Systems},
year={2022},
url_Paper={https://proceedings.neurips.cc/paper_files/paper/2022/file/f392c6bbb14548df50092f10c9db440f-Paper-Conference.pdf},
my_funding = {DARPA and Simons},
}Downloads: 7
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