Northwestern University 1 credit Computer Science
"Large-scale computing environments nowadays bring great opportunities in terms of the ubiquity and omnipresence of data, communication, and computation. However, such opportunities often come with concerns on trust and security when exchanging data and computing on joint data. Modern cryptography features precise definitions and rigorous proofs of security for complicated protocols. It is a cornerstone for many large-scale systems used now and crucial for newly emerging systems like e-voting and blockchain. This course is a graduate-level introduction to modern cryptography. The course will cover definitions, constructions, and proofs used in modern cryptography. Topics include secure multi-party computation, zero-knowledge proofs, oblivious computation, fully homomorphic encryption, decentralized cryptocurrencies, and blockchain applications. Various techniques and assumptions will be introduced in the course, including simulation-based security, Diffie Hellman (DH) assumption, Learning With Error (LWE) assumption, etc. Prerequisite: CS 307 or CS MS or CS PhDs or instructor permission.".
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