Assistant Professor

Dept. of Computing
The Hong Kong Polytechnic University
kaizhou@polyu.edu.hk

Ph.D., Michigan State University, 2018
B.S., Shanghai Jiao Tong University, China, 2013

Multiple Postdoc/Ph.D./RA positions are available (RA — HKD 17500/month, Postdoc — at least HKD 30000/month). If you are interested in working with me, please read my research statement (should be updated soon) and contact me through email.

[CV] [Research Statement]

Research

My research focuses on data security and privacy in a broad spectrum of application domains, such as social network analysis, machine learning, and mobile cloud computing. Topics that interest me include secure and verifiable computation, adversarial robustness of learning systems, game-theoretical modeling.

Selected Research Projects

[Security in social network analysis & artificial intelligence] Focus on the structural attacks and adversarial robustness of various graphical models in different application domains, such as social network analysis and machine learning.

Kai Zhou, Tomasz P. Michalak, Marcin Waniek, Talal Rahwan, and Yevgeniy Vorobeychik, Attacking Similarity-Based Link Prediction in Social Networks“, AAMAS, 2019.

Kai Zhou, Tomasz P. Michalak , and Yevgeniy Vorobeychik, “Adversarial Robustness of Similarity-Based Link Prediction“, ICDM, 2019. (regular paper acceptance rate: 95/1064, 9.08%) 
Invited for publication in Knowledge and Information Systems as one of the best papers at ICDM’19.

Kai Zhou and Yevgeniy Vorobeychik, “Robust Collective Classification against Structural Attacks“, the 36th Conference on Uncertainly in Artificial Intelligence (UAI), 2020 .

[Data security and privacy in mobile cloud computing] Enable end-users to outsource personal data & computations to untrusted cloud, while ensuring data security, user privacy, and result verifiability.

Kai Zhou and Jian Ren, “Passbio: Privacy-preserving user-centric biometric authentication“, IEEE Transactions on Information Forensics and Security 13.12 (2018): 3050-3063.

Kai Zhou and Jian Ren., “CASO: Cost-Aware Secure Outsourcing of General Computational Problems“,  IEEE Transactions on Services Computing (2018).

Kai Zhou, M. H. Afifi, and Jian Ren, “ExpSOS: secure and verifiable outsourcing of exponentiation operations for mobile cloud computing“, IEEE Transactions on Information Forensics and Security 12.11 (2017): 2518-2531.

Personal

I was raised up in a small town (I assume nobody knows and I often say I am from Wuhan) near Wuhan, China. I went to college in 2009 and spent four unforgettable years in Shanghai, a big international city (although we seldom leave our beautiful campus located 2-hour-subway away from Shanghai). After graduation in 2013, I went North, joined Michigan State, and started pursuing a Ph.D., for which I defended on Dec. 15th, 2017 (snow was heavy that night). I am now working as a post-doc in St. Louis ( before this, I enjoyed 3 wonderful months in Vanderbilt University, Nashville).
I was a fan of basketball when Yao Ming was still in the league; now I am too old to recognize those new stars. I enjoy reading casual online novels. I once wrote a tiny book in college ( yes, I published it myself and sold to several close friends). While in the United States, the most exciting thing is Road Trip (my destinations include North Michigan, Philadelphia, Nashville, Las Vegas, Death Valley, Grand Canyon, and St. Louis).