Research in fully homomorphic encryption, post-quantum cryptography, and privacy-preserving machine learning.
Grouped by theme; peer-reviewed venues listed before preprints.
VeloFHE: GPU acceleration for FHEW and TFHE bootstrappingIACR Transactions on Cryptographic Hardware and Embedded Systems·2025·9 citations
Phantom: A CUDA-accelerated word-wise homomorphic encryption libraryIEEE Transactions on Dependable and Secure Computing·2024·54 citations
Leveraging GPU in homomorphic encryption: Framework design and analysis of BFV variantsIEEE Transactions on Computers·2024·7 citations
cuXCMP: CUDA-accelerated private comparison based on homomorphic encryptionIEEE Transactions on Information Forensics and Security·2023·6 citations
CARM: CUDA-accelerated RNS multiplication in word-wise homomorphic encryption schemes for Internet of ThingsIEEE Transactions on Computers·2022·30 citations
CuFDFB: Fast and private computation on non-linear functions using FHECryptology ePrint Archive·2025·1 citationPreprint
XNET: A real-time unified secure inference framework using homomorphic encryptionCryptology ePrint Archive·2023·11 citationsPreprint
Implementing and benchmarking word-wise homomorphic encryption schemes on GPUCryptology ePrint Archive·2023·4 citationsPreprint
Post-Quantum Cryptography
cuFalcon: An adaptive parallel GPU implementation for high-performance Falcon accelerationIEEE Transactions on Parallel and Distributed Systems·2026Forthcoming
CBPSPX: A CUDA-based batch parallel optimization of post-quantum signature SPHINCS+IEEE Internet of Things Journal·2025·2 citations
Optimized implementation of NTRU on RISC-V platformInternational Conference on Provable Security·2025
HySecure: FPGA-based hybrid post-quantum and classical cryptography platform for end-to-end IoT securityElectronics·2025·2 citations
High-throughput GPU implementation of Dilithium post-quantum digital signatureIEEE Transactions on Parallel and Distributed Systems·2024·41 citations
cuML-DSA: Optimized signing procedure and server-oriented GPU design for ML-DSAIEEE Transactions on Dependable and Secure Computing·2024·16 citations
后量子密码算法的侧信道攻击与防御综述 (Side-channel attacks and defenses on post-quantum cryptography: a survey)Journal of Software (软件学报)·2021·3 citations
AKCN-MLWE 算法 AVX2 高效实现 (Efficient AVX2 implementation of AKCN-MLWE)Chinese Journal of Computers (计算机学报)·2021·1 citation
An efficient and scalable sparse polynomial multiplication accelerator for LAC on FPGAIEEE International Conference on Parallel and Distributed Systems·2020·2 citations
Privacy-Preserving Machine Learning
Towards compute-efficient Byzantine-robust federated learning with fully homomorphic encryptionNature Machine Intelligence·2025·15 citations
Noya: An efficient, flexible and secure CNN inference model based on homomorphic encryptionInternational Conference on Security and Privacy in Communication Systems·2024
BCPIR: More efficient keyword PIR via block building codewordsInternational Conference on Security and Privacy in Communication Systems·2024
CNN-Guardian: Secure neural network inference acceleration on edge GPUACM Conference on Embedded Networked Sensor Systems·2023·2 citations
Privacy-preserving federated learning using CKKS homomorphic encryptionInternational Conference on Wireless Algorithms, Systems, and Applications·2022·27 citations
Lancelot: Towards efficient and privacy-preserving Byzantine-robust federated learning within fully homomorphic encryptionarXiv preprint·2024·16 citationsPreprint