About me
Dr Tsz Hon Yuen (John Yuen) is an associate professor in the Department of Software Systems & Cybersecurity at Monash University. His research develops practical cryptographic and privacy-enhancing technologies for trustworthy digital systems, with particular interests in public-key cryptography, privacy-preserving protocols, blockchain, and digital finance.
He currently serves as the Associate Director (Technology) of the Fintech Impact Lab of Monash University, and the Deputy Course Director of the Master of Cybersecurity.
Before joining Monash, Dr Yuen was an Assistant Professor in the Department of Computer Science at the University of Hong Kong. He was previously a Senior Researcher at the Shield Lab, Huawei Singapore Research Centre, and a member of Huawei’s Cryptography Expert Group. He received his PhD from the University of Wollongong in 2010 and subsequently held a postdoctoral position at the University of Hong Kong.
View publications Research opportunities
Research Interest
Dr Yuen's research focuses on:
- Cryptography: public-key encryption, digital signatures, and zero-knowledge proofs.
- Privacy-enhancing technologies: anonymous credentials, private set intersection, and privacy-preserving data sharing and computation.
- Blockchain and digital finance: payment channels, confidential transactions, and security for digital assets.
His work has appeared in leading venues including CRYPTO, EUROCRYPT, ASIACRYPT, ACM CCS, IEEE Symposium on Security and Privacy, USENIX Security, and IEEE Transactions on Computers. He received the Best Paper Award at ESORICS 2014 and is an inventor on more than ten patents. He has served on programme committees and as a reviewer for leading security and cryptography conferences and journals. He is also a founding member of the Central Bank Digital Currency Expert Group of the Hong Kong Monetary Authority.
His career-long impact (2025) and single-year impact (2023–2025) are included in the Stanford/Elsevier World’s Top 2% Scientists, a citation-indicator database prepared by the Ioannidis team using Scopus data and published by Elsevier.
Featured publications
Scalable zkSNARKs for Matrix Computations: A Generic Framework for Verifiable Deep Learning.
The International Conference on the Theory and Application of Cryptology and Information Security 2025 (Asiacrypt 2025). December 8 - 12, 2025, Melbourne, Australia
A generic zkSNARK framework for scalable verification of matrix computations, with applications to verifiable deep-learning workloads.
O-Ring and K-Star: Efficient Multi-party Private Set Intersection.
33rd USENIX Security Symposium. USENIX Security 2024, Philadelphia, PA, USA, August 14-16, 2024
Efficient multi-party private set-intersection protocols that support scalable set matching while protecting participants' inputs.
BlindHub: Bitcoin-Compatible Privacy-Preserving Payment Channel Hubs Supporting Variable Amounts.
44th IEEE Symposium on Security and Privacy, San Francisco, USA. May 22-25, 2023
A Bitcoin-compatible privacy-preserving payment-channel hub that supports variable-value payments without revealing transaction amounts.
For the complete list, see Publications.
Opportunities
I am always interested in working with motivated students and collaborators on cryptography, privacy-enhancing technologies, blockchain security, and digital finance.
Prospective PhD students, postdoctoral researchers, and research collaborators are welcome to email me with a brief introduction, CV, and a description of relevant research interests.
News
- Two papers, SuccinCT and HedgeSwap, will appear at ESORICS 2026.
- FlowShield will appear at ICDM 2026.
- OblivSage will appear at ACISP 2026.
- GumSwap will appear at ICDCS 2026.
Contact
Room 2.25, Alan Finkel Building for Technology and Design, Monash University, Clayton VIC 3168, AustraliaEmail: john dot tszhonyuen at monash dot edu