

Wasserstein gradient flows and applications to sampling in machine learning - lecture 1
By Anna Korba


Wasserstein gradient flows and applications to sampling in machine learning - lecture 2
By Anna Korba
By Huijia Lin
Appears in collection : 2016 - T1 - WS5 - Secrecy and privacy theme
Zero-knowledge protocols, introduced by Goldwasser, Micali, and Rackoff [STOC 1985], are fascinating constructs in cryptography: They provide the paradoxical guarantee that a player, the prover, can convince another player, the verifier, of the validity of a mathematical statement, without revealing any information beyond the validity. Since their introduction, zero-knowledge protocols have played an important role in the development of many cryptographic tools and systems; most typically, zero-knowledge protocols are used to force malicious adversaries to follow the specified protocol without deviation. In this talk, we will present the definition of zero-knowledge protocols, their basic constructions, and some recent developments on variants of zero-knowledge protocols.