FairProof: Verifying ML Fairness with Zero-Knowledge Proofs

A researcher introduced FairProof (ICML '24), the first framework using zero-knowledge proofs to certify individual fairness of confidential ML models, along with follow-up work ExpProof extending ZKP to ML explainability.

2026-11-05 ~ 2026-11-05 · 2 related posts

• FairProof and ExpProof: certifying ML fairness and explanations with ZKPs — chhaviyadav_ · 2026-11-05
• FairProof brings ZK proofs to certifying individual fairness of confidential ML models — chhaviyadav_ · 2026-11-05