awesome-audit-algorithms
A curated list of algorithms and papers for auditing black-box algorithms.
AI summary
Audit algorithms
A curated collection of algorithms and research papers for auditing black-box machine learning models
- stars
- 94
- forks
- 9
- watching
- 15
- awesome lists
- 2
- entries
- 88
What's in the list
88 links in 17 sections, with live GitHub stats.activeno commit in 2y
Papers / 2024
- Auditing Local Explanations is Hard
(NeurIPS)
- LLMs hallucinate graphs too: a structural perspective
(complex networks)
- Auditing Fairness by Betting
(Neurips)
Papers / 2023
- Privacy Auditing with One (1) Training Run
(NeurIPS - best paper)
- Auditing fairness under unawareness through counterfactual reasoning
(Information Processing & Management)
- Auditing YouTube’s Recommendation Algorithm for Misinformation Filter Bubbles
(Transactions on Recommender Systems)
Papers / 2022
- Scaling up search engine audits: Practical insights for algorithm auditing
(Journal of Information Science)
- Active Fairness Auditing
(ICML)
Papers / 2021
- Extracting Training Data from Large Language Models
(USENIX Security)
- FairLens: Auditing black-box clinical decision support systems
(Information Processing & Management)
Papers / 2020
- Adversarial Model Extraction on Graph Neural Networks
(AAAI Workshop on Deep Learning on Graphs: Methodologies and Applications)
- Remote Explainability faces the bouncer problem
(Nature Machine Intelligence volume 2, pages529–539)
Papers / 2019
- Adversarial Frontier Stitching for Remote Neural Network Watermarking
(Neural Computing and Applications)
Papers / 2018
- Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
(Harvard Journal of Law & Technology)
Papers / 2017
- Membership Inference Attacks Against Machine Learning Models
(Symposium on Security and Privacy)
Papers / 2016
- Stealing Machine Learning Models via Prediction APIs
(Usenix Security)
- Back in Black: Towards Formal, Black Box Analysis of Sanitizers and Filters
(Security and Privacy)
Papers / 2015
Papers / 2014
- A peek into the black box: exploring classifiers by randomization
(Data Mining and Knowledge Discovery journal) ( )
- XRay: Enhancing the Web's Transparency with Differential Correlation
(USENIX Security)
Papers / 2013
Papers / 2012
Papers / 2008
Papers / 2005
- Adversarial Learning
(KDD)
Related Events / 2024
Related Events / 2023
Nothing in this list matches your filter.
Featured in 2 awesome lists
Each link jumps to the spot where the list mentions awesome-audit-algorithms.
