Jun ZHAO (赵俊)
Assistant Professor
Nanyang Technological University (NTU)
I am an Editor of IEEE Transactions on Information Forensics and Security (TIFS).
Ph.D. (from CMU: Carnegie Mellon University)
I am hiring people to work on Homomorphic Encryption and its use in Federated Learning.
Email: JunZhaoEmail@ieee.org
Room number: N4-02c-111
Biography
This is Jun ZHAO, an Assistant Professor in the College of Computing and Data Science (CCDS) at Nanyang Technological University (NTU) in Singapore. I am a key member of the National Digital Trust Centre (DTC) (which is also designated as the Artificial Intelligence Safety Institute Singapore (SG AISI) by the Singapore government), and the Strategic Centre for Research in Privacy-Preserving Technologies & Systems (SCRIPTS), led by Prof LAM Kwok-Yan, Prof WANG Huaxiong, and Prof CHI Chi Hung. SG AISI will collaborate internationally with (US/UK/Australia/Japan/China/...'s) AI Safety Institutes to advance the sciences of AI safety for national AI governance and international frameworks. I received a PhD degree in Electrical and Computer Engineering from Carnegie Mellon University (CMU) in the USA, affiliated with CMU's renowned CyLab CyberSecurity & Privacy Institute (working on cybersecurity with Virgil Gligor, Adrian Perrig, and Osman Yagan), and a bachelor’s degree from Shanghai Jiao Tong University (SJTU) in China.
I am an Editor of many journals: IEEE Transactions on Information Forensics and Security (TIFS), ACM Distributed Ledger Technologies (DLT), IEEE Internet of Things Journal (IoTJ), and Elsevier Future Generation Computer Systems (FGCS). I have received best editor awards from IEEE journals and best paper awards from conferences/journals.
News
My edited book titled "Science of Cyber Security" is published by Springer: https://link.springer.com/book/9789819624164 This publication is a result of my service as the TPC Chair of the 6th International Conference on Science of Cyber Security (SciSec 2024), held in Copenhagen, Denmark. 我与英国兰开斯特大学蒙威志教授编辑的网络空间安全书已经出版.
My paper at https://arxiv.org/abs/2405.17049/ has been accepted to the International Conference on Learning Representations (ICLR) 2025, the topmost conference in deep learning / artificial intelligence (AI) 深度学习/人工智能最好会议. The paper focuses on AI safety and introduces the world's first approach to verifying neural networks using sparse polynomial optimization.
Another patent by me on Generative AI and Cybersecurity is approved in Singapore.
The United Nations (UN) Internet Governance Forum (IGF) 联合国互联网治理论坛 officially recognizes the Singapore National Internet Governance Forum (IGF) that my industrial collaborators and I have established.