software . 2020

Code and data for Linear Program Reconstruction in Practice

Aloni Cohen;
Open Access
  • Published: 14 Jan 2020
  • Publisher: Zenodo
Abstract
<p>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.</p> <p>The files in ./data were generated using the banking.psql database available at <a href="https://download.aircloak.com/">https://downl...
Subjects
free text keywords: Biotechnology, 69999 Biological Sciences not elsewhere classified, 80699 Information Systems not elsewhere classified, banking.psql database, code, dataset sizes, Linear Program Reconstruction, briefly report, Aircloak Challenge bug bounty program, query, error rates, reconstruction algorithm, program reconstruction attack, test environment, queries system, Gaussian noise
Download fromView all 4 versions
Zenodo
Software . 2020
Provider: Datacite
Zenodo
Software . 2020
Provider: Datacite
Zenodo
Software . 2020
Provider: Zenodo
figshare
Software . 2020
Provider: figshare
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue
software . 2020

Code and data for Linear Program Reconstruction in Practice

Aloni Cohen;