Approximate Privacy: Foundations and Quantification∗ Joan Feigenbaum† Aaron D. Jaggard‡

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Dirk Bergemann Joan Feigenbaum Yale University Economics and Computation Computer Scienceand Economics

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PUBLICATIONS Joan Feigenbaum July 13, 2016 Journal and Book Articles 1.

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Hardness Results for Multicast Cost Sharing∗ Joan Feigenbaum† Arvind Krishnamurthy‡ Rahul Sami§ Scott Shenker¶ March 9, 2003 Abstract We continue the study of multicast cost sharing from the viewpoints of both co

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Economics and Computation ECONand CPSCProfessor Dirk Bergemann and Professor Joan Feigenbaum Lecture III

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Towards a Theory of Networked Computation Joan Feigenbaum Michael Mitzenmacher

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A New Approach to Interdomain Routing Based on Secure Multi-Party Computation Debayan Gupta∗, Aaron Segal∗, Aurojit Panda†, Gil Segev‡, Michael Schapira§, Joan Feigenbaum∗, Jenifer Rexford††, Scott Shenker

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Lead Exposure and Violent Crime in the Early Twentieth Century∗ James J. Feigenbaum† and Christopher Muller‡ March 22, 2016 Abstract

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Dirk Bergemann Joan Feigenbaum Yale University Economics and Computation

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• Game theory
• Decision theory
• Auction theory
• Gaming
• Auctions
• Double auction
• Mechanism design
• Nash equilibrium

Secure Multiparty Computation of Approximations∗ Joan Feigenbaum† Yuval Ishai‡ Martin J. Straussk

Source URL: cs-www.cs.yale.edu

• Cryptography
• Mathematical analysis
• Quantum complexity theory
• Computational complexity theory
• Functions and mappings
• Secure multi-party computation
• Communication complexity
• Secure two-party computation
• Limit of a function
• Cryptographic protocol
• Pi
• PP