Applied Cryptography

Catalog description

Credits 3. 3 Lecture Hours. 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.