sIGMA@SDU sIGMA@SDU 2021 SECURE INTELLIGENCE COMPUTATION AND AUTHENTICATION SECURE INTELLIGENCE COMPUTATION AND AUTHENTICATION 2021 SECURE INTELLIGENCE COMPUTATION AND AUTHENTICATION Sigma@SDU

2022山东大学隐私增强计算前沿讲习

School Overview

2022年度隐私计算前沿讲习暑期学校共包含一门课程与多场讲座，其中《安全多方计算选讲》课程由Hong-Sheng Zhou讲授。报告涵盖认证、可搜索加密、硬件安全等多个领域，由杨铮、Chenglu Jin、Leo Zhang等人汇报。

《安全多方计算选讲》课程涵盖加密（CPA/CCA）算法和签名算法介绍、安全 性定义和可证明安全；承诺、零知识证明、不经意传输协议；安全两方计算中GARBLEDCIRCUIT、YAO协议等；通用可组合安全模型等内容。

本课程为中阶难度课程，具有密码学基础的同学均可选课：

  1. 来自Virginia Commonwealth University、Centrum Wiskunde & Informatica等知名高校的的教授授课。
  2. 课程内容涵盖安全多方计算与密码隐私数据处理的最新研究成果和实际应用，并结合了国外大学原版课程与最新学术成果。
  3. 结课后将获得山东大学暑期学校结课证书。

School Lectures

Professor Hong-Sheng Zhou

Hong - Sheng Zhou is an Associate Professor in the Computer Science Department at Virginia Commonwealth University. He was a postdoc at Maryland Cybersecurity Center under the direction of Jonathan Katz. Before that, he received his PhD at theUniversity of Connecticut with Aggelos Kiayias as advisor. Hong-Sheng is interested in a wide range of topics in moderncryptography including Secure Multi - Party Computation, Blockchain Technologies, Zero-Knowledge Proofs and many more.He investigates cryptographic primitives and protocols in the complex environments aiming to achieve strong securityguarantees including Composability, Leakage/Tampering/Subversion Resilience, Coercion Resilience, Fairness and QuantumResilience. He has published a number of papers in top cryptography, security and distributed computing conferences, suchas CRYPTO,EUROCRYPT, ASIACRYPT, ACM CCS,USENIX Security, and ACM PODC. Hong-Sheng was a recipient of an NSFComputing Innovation Fellowship and a Google Faculty Research Award. His research has been funded by NSF and mutipleindustry research gifts.

杨铮

杨铮教授，在安全模型定义、密码算法和协议构建、隐私保护技术、 以及安全分析方面进行了10年以上的深入研究，具有丰富的研究成 果和国内外项目经验。在隐私保护研究方面，杨铮教授等提出了第一 个秒级以内的室内定位隐私保护方案，并提出了多个面向非规则形状 的隐私位置接近性检测算法。在透明隐私技术方面，提出了一种名为 TAP的树形透明隐私认证数据结构；面向电网动态定价应用，提出了 一种具有透明隐私的定价方案，使得保证用户的数据隐私安全的同时 还可以检测商家的篡改行为；相关研究成果发表于四大安全顶会之一Usenix Security 2023以及欧洲计算机安全顶会ESORICS 2021（CCF-B）。在国际安全应用大会ACSAC 2021（CCF-B）上，提出了一种全 新的轻量级匿名身份认证相关密码原语一一动态群时间基一次性口令，可以在资源受限的终端设备上高效的实现身份认证的同时保护用户身份隐私。面向网络通信安全，首次在轻量级认证密钥交换协议中提 出了采用非对称共享进化密钥实现完美前向安全属性的新方法，此成果发表在中科院1区顶级期刊IEEE Transactionson Industrial Informatics和ACM Transactionson Sensor Networks国际著名期 刊上。此外，杨铮教授近期设计并实现了世界上首个面向可编程逻辑控制器的基于结构化文本语言的对称加密密码库一一为在PLC上安全并高效的实现对称密码算法提供一种低成本解决方案，相关成果近期发表在著名国际软件加密大会FSE 2022（CCF-B）上。铮教授近期作为项目负责人主持了国内4项科研项目。出版学术专著2部，发表英文学术论文60余篇，并以（含共同）第一作者或通讯 作者已发表与本项目相关的学术论文39篇一一其中包括22篇SCI期刊 论文和17篇国际会议论文，部分论文发表在中国计算机学会/中国密码学会推荐A/B类国际著名期刊或会议上，并获得3项国家发明专利 授权。

Chenglu Jin

Chenglu Jin is a Tenure-track Researcher in the Computer Security Group at Centrum Wiskunde & Informatica. Before joining CWI Amsterdam, he worked as a research assistant professor at New York University. He obtained his Ph.D. degree at the University of Connecticut. Prior to that, he obtained his Master of Science degree and Bachelor of Science degree from New York University and Xidian University, respectively.

Leo Zhang

Leo Zhang (M’ 17) is currently a Senior Lecturer with the School of Information and Communication Technology, Griffith University, QLD, Australia. And he used to be a Lecturer (2018-2022) and a Senior Lecturer (Jan.-Mar. 2023) at the School of Information Technology, Deakin University. He received the Ph.D. degree from the City University of Hong Kong, Hong Kong, in 2016. He held various research positions with the City University of Hong Kong, the University of Macau, Macau, China, the University of Ferrara, Ferrara, Italy, and the University of Bologna, Bologna, Italy. His current research interests include trustworthy Al and applied cryptography, and he has published many papers in these fields at prestigious venues, including Oakland, AsiaCCS, ACNS, CVPR, IJCAI, AAAI, etc.

Courses Schedule

  • 安全多方计算, Hong-Sheng Zhou, 线下

Reporting Schedule

  • Lightweight Authentication, 杨铮, 线上&线下
  • Hardware Security, Chenglu Jin, 线上&线下
  • 探究深度学习中的安全和隐私问题, Leo Zhang, 线上&线下
  • 可搜索加密-定义，安全，构造及其攻击, 梁开泰, 线上&线下
  • Multi-Party Private Function Evaluation for RAM, 张秉晟, 线上&线下

References

  • Jonathan Katz, Yehuda Lindell: Introduction to Modern Cryptography. 3rd Edition. Chapman and Hall/CRC Press 2020, ISBN 9781351133036
  • Arno Mittelbach, Marc Fischlin: The Theory of Hash Functions and Random Oracles – An Approach to Modern Cryptography. Information Security and Cryptography, Springer 2021, ISBN 978-3-030-63286-1
  • David Evans, Vladimir Kolesnikov, Mike Rosulek: A Pragmatic Introduction to Secure Multi-Party Computation. NOW Publishers, 2018