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Audit Algorithms

The "Awesome Audit Algorithms" project is a curated collection focused on algorithmic audits, which are essential for ensuring fairness, transparency, and accountability in algorithmic decision-making. This list encompasses various methodologies, tools, frameworks, and case studies related to auditing algorithms across different domains. It serves as a valuable resource for researchers, data scientists, and policymakers who are interested in understanding and improving the ethical implications of algorithms. By providing insights into best practices and innovative approaches, users can explore how to effectively assess and enhance the performance and fairness of algorithms in their own projects.

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Table of Contents

17 sections · 97 projects

2026

1 projects
Exposing the Illusion of Fairness: Auditing Vulnerabilities to Distributional Manipulation Attacks

arxiv.org

2022

6 projects
Two-Face: Adversarial Audit of Commercial Face Recognition Systems

ojs.aaai.org
Scaling up search engine audits: Practical insights for algorithm auditing

journals.sagepub.com
A zest of lime: towards architecture-independent model distances

openreview.net
Active Fairness Auditing

proceedings.mlr.press
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis

proceedings.neurips.cc
Your Echos are Heard: Tracking, Profiling, and Ad Targeting in the Amazon Smart Speaker Ecosystem

arxiv.org

2021

8 projects
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces

arxiv.org
Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors

arxiv.org
Auditing Black-Box Prediction Models for Data Minimization Compliance

cs.bu.edu
Setting the Record Straighter on Shadow Banning

arxiv.org
Extracting Training Data from Large Language Models

arxiv.org
FairLens: Auditing black-box clinical decision support systems

sciencedirect.com
Auditing Algorithmic Bias on Twitter

dl.acm.org
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information

proceedings.mlr.press

2020

9 projects
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms

proceedings.neurips.cc
Auditing radicalization pathways on

dl.acm.org
Adversarial Model Extraction on Graph Neural Networks

arxiv.org
Remote Explainability faces the bouncer problem

rdcu.be
GeoDA: a geometric framework for black-box adversarial attacks

openaccess.thecvf.com
The Imitation Game: Algorithm Selectionby Exploiting Black-Box RecommenderThe Imitation Game: Algorithm Selectionby Exploiting Black-Box Recommender

A GitHub Pages template for creating academic personal websites, forked from Minimal Mistakes Jekyll theme.

#template#minimal-mistakes#jekyll-theme
Stars2
Forks3
Last commit16 days ago
Auditing News Curation Systems:A Case Study Examining Algorithmic and Editorial Logic in Apple News

ojs.aaai.org
Auditing Algorithms: On Lessons Learned and the Risks of DataMinimization

dl.acm.org
Extracting Training Data from Large Language Models

arxiv.org

2019

9 projects
Adversarial Frontier Stitching for Remote Neural Network Watermarking

arxiv.org
Knockoff Nets: Stealing Functionality of Black-Box Models

arxiv.org
Opening Up the Black Box:Auditing Google's Top Stories Algorithm

par.nsf.gov
Making targeted black-box evasion attacks effective andefficient

arxiv.org
Online Learning for Measuring Incentive Compatibility in Ad Auctions

research.fb.com
TamperNN: Efficient Tampering Detection of Deployed Neural Nets

arxiv.org
Neural Network Model Extraction Attacks in Edge Devicesby Hearing Architectural Hints

arxiv.org
Stealing Knowledge from Protected Deep Neural Networks Using Composite Unlabeled Data

ieeexplore.ieee.org
Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment

dl.acm.org