Linear program reconstruction in practice

Aloni Cohen; Kobbi Nissim

doi:10.29012/jpc.711

Linear program reconstruction in practice

Aloni Cohen, Kobbi Nissim

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

We briefly report on a successful linear program reconstruction attack performed on a production statistical queries system and using a real dataset. The attack was deployed in test environment in the course of the Aircloak Challenge bug bounty program and is based on the reconstruction algorithm of Dwork, McSherry, and Talwar. We empirically evaluate the effectiveness of the algorithm and a related algorithm by Dinur and Nissim with various dataset sizes, error rates, and numbers of queries in a Gaussian noise setting.

Original language	English
Pages (from-to)	1-13
Number of pages	13
Journal	Journal of Privacy and Confidentiality
Volume	10
Issue number	1
DOIs	https://doi.org/10.29012/jpc.711
State	Published - 1 Jan 2020
Externally published	Yes

Keywords

Data privacy
Reconstruction attacks

ASJC Scopus subject areas

Computer Science Applications
Computer Science (miscellaneous)
Statistics and Probability

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10.29012/jpc.711

Cite this

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AB - We briefly report on a successful linear program reconstruction attack performed on a production statistical queries system and using a real dataset. The attack was deployed in test environment in the course of the Aircloak Challenge bug bounty program and is based on the reconstruction algorithm of Dwork, McSherry, and Talwar. We empirically evaluate the effectiveness of the algorithm and a related algorithm by Dinur and Nissim with various dataset sizes, error rates, and numbers of queries in a Gaussian noise setting.

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Linear program reconstruction in practice

Abstract

Keywords

ASJC Scopus subject areas

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