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erwanlemerrer/awesome-audit-algorithms

Theory  3 days ago  44
A curated list of algorithms and papers for auditing black-box algorithms.
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Awesome Audit Algorithms Awesome

A curated list of algorithms for auditing black-box algorithms. Nowadays, many algorithms (recommendation, scoring, classification) are operated at third party providers, without users or institutions having any insights on how they operate on their data. Audit algorithms in this list thus apply to this setup, coined the "black-box" setup, where one auditor wants to get some insight on these remote algorithms.

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A user queries a remote algorithm (eg, through available APIs), to infer information about that algorithm.

Contents

Papers

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2008

2005

  • Adversarial Learning - (KDD) Reverse engineering of remote linear classifiers, using membership queries.

ON THIS PAGE

  1. Awesome Audit Algorithms Awesome
  2. Contents
  3. Papers
  4. 2022
  5. 2021
  6. 2020
  7. 2019
  8. 2018
  9. 2017
  10. 2016
  11. 2015
  12. 2014
  13. 2013
  14. 2012
  15. 2008
  16. 2005
Last Checked At: 2022-08-15T14:53:14.754Z
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