DP-Opt: Identify High Differential Privacy Violation by Optimization-Reference-Cited by-同舟云学术

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DP-Opt: Identify High Differential Privacy Violation by Optimization

Published:2022 Issue: Volume: Page:406-416
ISSN:0302-9743
Container-title:Wireless Algorithms, Systems, and Applications
language:
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Author:

Niu Ben,Zhou Zejun,Chen Yahong,Cao Jin,Li Fenghua

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-19214-2_34

Reference20 articles.

1. Albarghouthi, A., Hsu, J.: Synthesizing coupling proofs of differential privacy. Proc. ACM Program. Lang. 2(POPL), 1–30 (2017)

2. Askin, Ö., Kutta, T., Dette, H.: Statistical quantification of differential privacy: a local approach. arXiv preprint arXiv:2108.09528 (2021)

3. Barthe, G., Chadha, R., Jagannath, V., Sistla, A.P., Viswanathan, M.: Deciding differential privacy for programs with finite inputs and outputs. In: Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science, pp. 141–154 (2020)

4. Barthe, G., Gaboardi, M., Grégoire, B., Hsu, J., Strub, P.Y.: Proving differential privacy via probabilistic couplings. In: Proceedings of the 31st Annual ACM/IEEE Symposium on Logic in Computer Science, pp. 749–758 (2016)

5. Barthe, G., Köpf, B., Olmedo, F., Zanella Beguelin, S.: Probabilistic relational reasoning for differential privacy. In: Proceedings of the 39th Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages, pp. 97–110 (2012)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DP-Auditorium: A Large-Scale Library for Auditing Differential Privacy;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

2. DP-Discriminator: A Differential Privacy Evaluation Tool Based on GAN;Proceedings of the 21st ACM International Conference on Computing Frontiers;2024-05-07

3. Group and Attack: Auditing Differential Privacy;Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security;2023-11-15

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