Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space-Reference-Cited by-同舟云学术

Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Shao Huaqing¹^ORCID,Wang Lanjun²^ORCID,Yan Junchi¹^ORCID

Affiliation:

1. Shanghai Jiao Tong University, Shanghai, China

2. Tianjin University, Tianjin, China

Funder

Science and Technology Commission of Shanghai Municipality

China Key Research and Development Program

NSFC

The foundation of Key Laboratory of Artificial Intelligence, Ministry of Education, P.R. China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599493

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3. Cem Anil , James Lucas , and Roger Grosse . 2019 . Sorting out Lipschitz function approximation . In International Conference on Machine Learning. PMLR, 291--301 . Cem Anil, James Lucas, and Roger Grosse. 2019. Sorting out Lipschitz function approximation. In International Conference on Machine Learning. PMLR, 291--301.

4. Recent Advances in Adversarial Training for Adversarial Robustness

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