FairZK derives parameter-only fairness bounds and new zero-knowledge gadgets, and demonstrates practical proofs of model fairness for much larger models than prior work.
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FairZK: A Scalable System to Prove Machine Learning Fairness in Zero-Knowledge
FairZK derives parameter-only fairness bounds and new zero-knowledge gadgets, and demonstrates practical proofs of model fairness for much larger models than prior work.