2018 ZJU Winter School for
Secure Multi-Party Computation

Introduction

In the past four decades, cryptography has evolved far beyond its traditional goal of securing communication (i.e., encryption and authentication). One active research area is secure computation, which enables collaboration among mutually distrustful parties. That is, two or more parties with private inputs wish to jointly compute some function of their inputs. The basic security requirements of such a computation are: privacy (meaning that the parties learn the output but nothing more), and correctness (meaning that the output is correctly distributed). Advanced security requirements have also been investigated: many computation protocols are carried out over complex environment (e.g., the Internet).

Secure computation has a wide range of applications, from as simple as coin-tossing and agreement, to as complex as electronic voting, electronic auctions, cryptocurrency, anonymous transactions, private information retrieval, and fair exchanges of digital goods.

This one-day school will provide a comprehensive introduction to secure computation, from security modeling, to constructions, and to security analysis . The target audience for the one-day school are graduate students and postdocs in cryptography (we will assume background in cryptography, but not secure computation). However, faculty, undergrads and professionals with the necessary background are welcome.

Date

Nov. 15, 2018, Thursday, Full Day

Location

Yuquan Campus, Zhejiang University, Hangzhou, China
(浙江大学玉泉校区邵逸夫科学馆)