Covert Learning: How to Learn with an Untrusted Intermediary-Reference-Cited by-同舟云学术

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Covert Learning: How to Learn with an Untrusted Intermediary

Published:2021 Issue: Volume: Page:1-31
ISSN:0302-9743
Container-title:Theory of Cryptography
language:
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Author:

Canetti Ran,Karchmer Ari

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-90456-2_1

Reference23 articles.

1. Lecture Notes in Computer Science;B Applebaum,2009

2. Awasthi, P., Feldman, V., Kanade, V.: Learning using local membership queries. In: Conference on Learning Theory, pp. 398–431 (2013)

3. Alekhnovich, M.: More on average case vs approximation complexity. In: 44th Annual IEEE Symposium on Foundations of Computer Science 2003, Proceedings, pp. 298–307. IEEE (2003)

4. Lecture Notes in Computer Science;A Blum,1994

5. Bshouty, N.H., Haddad-Zaknoon, C.A.: Adaptive exact learning of decision trees from membership queries. In: Algorithmic Learning Theory, pp. 207–234. PMLR (2019)

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. On the Power of Interactive Proofs for Learning;Proceedings of the 56th Annual ACM Symposium on Theory of Computing;2024-06-10

2. Privacy-Preserving Machine Learning [Cryptography];IEEE Security & Privacy;2023-11

3. Theoretical Limits of Provable Security Against Model Extraction by Efficient Observational Defenses;2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML);2023-02

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