Research
My research develops practical cryptographic and privacy-enhancing technologies for trustworthy digital systems. I work across foundational cryptography and applied security, with a particular focus on systems that can be deployed in blockchain, digital finance, cloud, and privacy-sensitive data-sharing environments.
Cryptography and Privacy-Enhancing Technologies
I design and analyse cryptographic primitives that provide strong security guarantees under realistic threats, including leakage, related-key attacks, malicious participants, and post-compromise exposure. My work covers public-key encryption, digital signatures, identity-based encryption, ring signatures, anonymous credentials, and zero-knowledge proofs.
Selected directions
- Digital signatures, threshold signatures, multi-signatures, and ring signatures
- Anonymous credentials and privacy-preserving authentication
- Efficient zero-knowledge proofs and verifiable computation
- Leakage-resilient, related-key-secure, and non-malleable cryptography
Representative work
- DualRing: Generic Construction of Ring Signatures with Efficient Instantiations — CRYPTO 2021
- Efficient Online-friendly Two-Party ECDSA Signature — ACM CCS 2021
- BlindHub: Bitcoin-Compatible Privacy-Preserving Payment Channel Hubs Supporting Variable Amounts — IEEE Symposium on Security and Privacy 2023
- Scalable zkSNARKs for Matrix Computations: A Generic Framework for Verifiable Deep Learning — ASIACRYPT 2025
Privacy-Preserving Data Systems
I develop privacy-preserving protocols that enable data to be searched, shared, authenticated, and analysed without unnecessarily exposing sensitive information. These systems are motivated by practical applications in cloud computing, health, contact tracing, digital identity, and secure data collaboration.
Selected directions
- Private set intersection and privacy-preserving data matching
- Secure data provenance and selective disclosure
- Searchable encryption and encrypted data access
- Privacy-preserving protocols for cloud and health-data applications
Representative work
- Efficient Unbalanced Private Set Intersection Cardinality and User-friendly Privacy-preserving Contact Tracing — USENIX Security 2023
- O-Ring and K-Star: Efficient Multi-party Private Set Intersection — USENIX Security 2024
- Efficient Private Set Intersection by Utilizing Oblivious Transfer Extension — AsiaCCS 2025
- Scalable zkSNARKs for Matrix Computations: A Generic Framework for Verifiable Deep Learning — ASIACRYPT 2025
Blockchain Security and Digital Finance
I study security, privacy, and accountability in blockchain systems and digital-finance infrastructure. My research includes confidential transactions, privacy-preserving payments, atomic swaps, payment channels, blockchain rewriting, anti-money-laundering analysis, and central-bank digital currency-related technologies.
Selected directions
- Confidential transactions and privacy for digital assets
- Blockchain payment protocols, payment channels, and atomic swaps
- Security and accountability for consortium blockchains
- Anti-money-laundering analytics and trustworthy digital finance
Representative work
- RingCT 2.0: A Compact Accumulator-Based Protocol for Blockchain Cryptocurrency Monero — ESORICS 2017
- RingCT 3.0 for Blockchain Confidential Transaction: Shorter Size and Stronger Security — Financial Cryptography 2020
- BlindHub: Bitcoin-Compatible Privacy-Preserving Payment Channel Hubs Supporting Variable Amounts — IEEE Symposium on Security and Privacy 2023
- HedgeSwap: Universal Hedged Atomic Swaps Against Griefing Attacks — ESORICS 2026