Software Open Access

Code and data for Linear Program Reconstruction in Practice

Aloni Cohen

Citation Style Language JSON Export

  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3608315", 
  "container_title": "Journal of Privacy and Confidentiality", 
  "title": "Code and data for Linear Program Reconstruction in Practice", 
  "issued": {
    "date-parts": [
  "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>\n\n<p>The files in ./data were generated using the banking.psql database available at <a href=\"\"></a> (last retrieved 12 Dec 2018). The best places to get started ./code/attack_script.m and ./code/simulated_experiment_script.m.</p>", 
  "author": [
      "family": "Aloni Cohen"
  "volume": "10", 
  "note": "NSF Graduate Research Fellowship, Facebook Fellowship, NSF Project CNS-1413920", 
  "version": "v20200114", 
  "type": "article", 
  "issue": "1", 
  "id": "3608315"
All versions This version
Views 165165
Downloads 77
Data volume 9.0 MB9.0 MB
Unique views 157157
Unique downloads 77


Cite as