Texas A&M University 3 credits CSCE
Applications in machine learning and blockchain to enhance data privacy; related cryptographic techniques include secure multiparty computations, verifiable computations and zero knowledge proofs; application of techniques to construct privacy-preserving machine learning, crypto-currencies and blockchain; study of efficiency and functionality constraints in practice, and discussion of challenges and solutions to efficiently realize these cryptographic protocols. Prerequisites: Graduate classification.
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