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Published January 14, 2020 | Version v20200114
Software Open

Code and data for Linear Program Reconstruction in Practice

Creators

  • 1. Boston University

Description

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.

The files in ./data were generated using the banking.psql database available at https://download.aircloak.com/ (last retrieved 12 Dec 2018). The best places to get started ./code/attack_script.m and ./code/simulated_experiment_script.m.

Notes

NSF Graduate Research Fellowship, Facebook Fellowship, NSF Project CNS-1413920

Files

journalprivacyconfidentiality/Linear-Program-Reconstruction-v20200114.zip

Additional details

Funding

TWC: TTP Option: Frontier: Collaborative: MACS: A Modular Approach to Cloud Security 1413920
National Science Foundation