ezDPS: An Efficient and Zero-Knowledge Machine Learning Inference Pipeline
Rust 21
Privacy-Preserving Verifiable Neural Network Inference Service (ACSAC 2024)
Rust 19
Efficient Dynamic Proof of Retrievability (NDSS 2023)
C 16 2
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning (ACSAC 2024)
C 15 1
Zero-Knowledge AI Inference with High Precision (ACM CCS 2025)
C 15
Efficient Multi-User Searchable Encrypted Database (USENIX Security 2024)
C 13 2
Efficient Single-Server Online-Offline PIR without Periodic Preprocessing (IEEE S&P 2027)
Efficient Single-Round Obfuscation of Search and Result Patterns in Searchable Encryption (ACM CCS 2026)
Client-Efficient Private Information Retrieval (PETS 2025)
Efficient and Secure Multi-Writer Encrypted Database (IEEE S&P 2025)
Update Frequency Attacks for Forward/Backward-Private Searchable Encryption