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Zero-Knowledge Proofs in Machine Learning
This chapter explores the advanced applications of zero-knowledge proofs in the context of combating disinformation and ensuring fairness in machine learning models. It introduces the FairProof system, which validates model decision-making processes, and discusses the challenges of maintaining algorithmic fairness while preserving user privacy.