Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation-Reference-Cited by-同舟云学术

Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation

Published:2022-11-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
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Author:

Hammoudeh Zayd¹,Lowd Daniel¹

Affiliation:

1. University of Oregon, Eugene, OR, USA

Funder

Defense Advanced Research Projects Agency

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3548606.3559335

Reference75 articles.

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3. Vic Barnett and Toby Lewis . 1978. Outliers in Statistical Data ( 2 nd edition ed.). John Wiley & Sons Ltd ., Hoboken, New Jersey, USA. Vic Barnett and Toby Lewis. 1978. Outliers in Statistical Data (2nd edition ed.). John Wiley & Sons Ltd., Hoboken, New Jersey, USA.

4. Elnaz Barshan , Marc-Etienne Brunet , and Gintare Karolina Dziugaite . 2020 . RelatIF: Identifying Explanatory Training Samples via Relative Influence . In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS'20) . Elnaz Barshan, Marc-Etienne Brunet, and Gintare Karolina Dziugaite. 2020. RelatIF: Identifying Explanatory Training Samples via Relative Influence. In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS'20).

5. Samyadeep Basu , Phil Pope , and Soheil Feizi . 2021 . Influence Functions in Deep Learning Are Fragile . In Proceedings of the 9th International Conference on Learning Representations (ICLR'21) . Virtual Only. Samyadeep Basu, Phil Pope, and Soheil Feizi. 2021. Influence Functions in Deep Learning Are Fragile. In Proceedings of the 9th International Conference on Learning Representations (ICLR'21). Virtual Only.

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