Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems-Reference-Cited by-同舟云学术

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Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Symposium on Security and Privacy (SP)
language:
Short-container-title:

Author:

Jin Jiankai¹,McMurtry Eleanor²,Rubinstein Benjamin I. P.¹,Ohrimenko Olga¹

Affiliation:

1. The University of Melbourne,School of Computing and Information Systems

2. ETH Zurich,Department of Computer Science

Funder

University of Melbourne

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9833550/9833558/09833672.pdf?arnumber=9833672

Reference55 articles.

1. Differential privacy on finite computers;balcer;9th Innovations in Theoretical Computer Science Conference ITCS 2018,2018

2. Deep learning with Gaussian differential privacy;bu;CoRR,2019

3. Generating a variable from the tail of the normal distribution;marsaglia;Technometrics,1964

4. The Ziggurat Method for Generating Random Variables

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1. Anonymization: The imperfect science of using data while preserving privacy;Science Advances;2024-07-19

2. Machine learning security and privacy: a review of threats and countermeasures;EURASIP Journal on Information Security;2024-04-23

3. “Hello? Is There Anybody in There?” Leakage Assessment of Differential Privacy Mechanisms in Smart Metering Infrastructure;Lecture Notes in Computer Science;2024

4. Artificial Intelligence and Differential Privacy: Review of Protection Estimate Models;Artificial Intelligence for Security;2024

5. Securely Sampling Discrete Gaussian Noise for Multi-Party Differential Privacy;Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security;2023-11-15

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