Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds-Reference-Cited by-同舟云学术

Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds

Published:2016 Issue: Volume: Page:635-658
ISSN:0302-9743
Container-title:Theory of Cryptography
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Author:

Bun Mark,Steinke Thomas

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-53641-4_24

Reference21 articles.

1. Blum, A., Ligett, K., Roth, A.: A learning theory approach to noninteractive database privacy. J. ACM 60(2), 12 (2013)

2. Lecture Notes in Computer Science;A Beimel,2013

3. Bun, M., Nissim, K., Stemmer, U.: Simultaneous private learning of multiple concepts. In: Proceedings of the 2016 ACM Conference on Innovations in Theoretical Computer Science, ITCS 2016, pp. 369–380. ACM, New York (2016)

4. Bun, M., Ullman, J., Vadhan, S.P.: Fingerprinting codes and the price of approximate differential privacy. In: Symposium on Theory of Computing, STOC 2014, New York, NY, USA, 31 May - 03 June 2014, pp. 1–10 (2014)

5. Lecture Notes in Computer Science;A De,2012

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