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PhD Proposal: Practical Multi-Party Computation Protocols with Stronger Security
Xiao Wang
Friday, April 21, 2017, 11:00 am-12:30 pm Calendar
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Abstract

 

Multi-party computation (MPC) is a cryptographic primitive that allows multiple parties to perform computation on their joint inputs while ensuring that no party's input is revealed. MPC protocols play a crucial role in various privacy-preserving applications. However, existing protocols are not efficient enough for real-life applications, preventing MPC to be extensively used in our daily life. 

 

I propose to design new protocols for MPC with high efficiency and strong security. I begin by my previous work that introduces a new protocol for secure two-party computation. The protocol is secure against active adversaries who can behave arbitrarily. Its efficiency is similar to the efficiency of protocols secure against semi-honest adversaries, which is a weaker model where adversaries are restricted to behave as described by the protocol. 

 

In my proposed work, I will extend the protocol in the multi-party setting. The proposed protocol enjoys high efficiency and performance, and allows at most all but one parties to be controlled by active adversaries.

 

Examining Committee:

 

Chair:                    Dr. Jonathan Katz

 

Dept rep:             Dr. Michelle Mazurek

 

Member:             Dr. Dana Dachman-Soled

 

 

 

 

 

 

 

This talk is organized by Jennifer Story