Biswas, A. and Cormode, Graham (2023) Interactive proofs for differentially private counting. In: ACM Conference on Computer and Communications Security, 2023, Copenhagen, Denmark, 26-30 Nov 2023. Published in: CCS '23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security pp. 1919-1933. ISBN 9798400700507. doi:10.1145/3576915.3616681
Preview |
PDF
WRAP-Interactive-proofs-differentially-private-counting-23.pdf - Accepted Version - Requires a PDF viewer. Download (4MB) | Preview |
Abstract
Differential Privacy (DP) is often presented as a strong privacy-enhancing technology with broad applicability and advocated as a de facto standard for releasing aggregate statistics on sensitive data. However, in many embodiments, DP introduces a new attack surface: a malicious entity entrusted with releasing statistics could manipulate the results and use the randomness of DP as a convenient smokescreen to mask its nefariousness. Since revealing the random noise would obviate the purpose of introducing it, the miscreant may have a perfect alibi. To close this loophole, we introduce the idea of Interactive Proofs For Differential Privacy, which requires the publishing entity to output a zero knowledge proof that convinces an efficient verifier that the output is both DP and reliable. Such a definition might seem unachievable, as a verifier must validate that DP randomness was generated faithfully without learning anything about the randomness itself. We resolve this paradox by carefully mixing private and public randomness to compute verifiable DP counting queries with theoretical guarantees and show that it is also practical for real-world deployment. We also demonstrate that computational assumptions are necessary by showing a separation between information-theoretic DP and computational DP under our definition of verifiability.
Item Type: | Conference Item (Paper) |
---|---|
Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science |
Library of Congress Subject Headings (LCSH): | Data mining, Computer security, Data encryption (Computer science) |
Series Name: | CCS '23 |
Journal or Publication Title: | CCS '23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security |
Publisher: | ACM |
ISBN: | 9798400700507 |
Official Date: | 21 November 2023 |
Dates: | Date Event 21 November 2023 Published 21 April 2023 Accepted |
Page Range: | pp. 1919-1933 |
DOI: | 10.1145/3576915.3616681 |
Status: | Peer Reviewed |
Publication Status: | Published |
Re-use Statement: | © ACM, 2023. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CCS '23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security pp. 1919-1933 https://doi.org/10.1145/3576915.3616681 |
Access rights to Published version: | Restricted or Subscription Access |
Date of first compliant deposit: | 5 May 2023 |
Date of first compliant Open Access: | 19 January 2024 |
RIOXX Funder/Project Grant: | Project/Grant ID RIOXX Funder Name Funder ID EP/V056883/1 [EPSRC] Engineering and Physical Sciences Research Council |
Conference Paper Type: | Paper |
Title of Event: | ACM Conference on Computer and Communications Security, 2023 |
Type of Event: | Conference |
Location of Event: | Copenhagen, Denmark |
Date(s) of Event: | 26-30 Nov 2023 |
Related URLs: | |
URI: | https://wrap.warwick.ac.uk/175621/ |
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |