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Silvio Micali

Researcher at Massachusetts Institute of Technology

Publications -  236
Citations -  49265

Silvio Micali is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Common value auction & Cryptography. The author has an hindex of 84, co-authored 236 publications receiving 45550 citations. Previous affiliations of Silvio Micali include Polaroid Corporation & University of California.

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Proceedings ArticleDOI

How to play ANY mental game

TL;DR: This work presents a polynomial-time algorithm that, given as a input the description of a game with incomplete information and any number of players, produces a protocol for playing the game that leaks no partial information, provided the majority of the players is honest.
Journal ArticleDOI

A digital signature scheme secure against adaptive chosen-message attacks

TL;DR: A digital signature scheme based on the computational difficulty of integer factorization possesses the novel property of being robust against an adaptive chosen-message attack: an adversary who receives signatures for messages of his choice cannot later forge the signature of even a single additional message.
Journal ArticleDOI

The knowledge complexity of interactive proof systems

TL;DR: A computational complexity theory of the “knowledge” contained in a proof is developed and examples of zero-knowledge proof systems are given for the languages of quadratic residuosity and 'quadratic nonresiduosity.
Proceedings Article

How to Play any Mental Game or A Completeness Theorem for Protocols with Honest Majority

TL;DR: Permission to copy without fee all or part of this material is granted provided that the copies are not made or Idistributed for direct commercial advantage, the ACM copyright notice and the title of the publication and its date appear, and notice is given that copying is by permission of the Association for Computing Machimery.
Journal ArticleDOI

How to construct random functions

TL;DR: In this paper, a constructive theory of randomness for functions, based on computational complexity, is developed, and a pseudorandom function generator is presented, which is a deterministic polynomial-time algorithm that transforms pairs (g, r), where g is any one-way function and r is a random k-bit string, to computable functions.