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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.

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

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A curated list of algorithms and papers for auditing black-box algorithms.

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