3 papers
cs.CR2025
Amulet: Fast TEE-Shielded Inference for On-Device Model Protection
Zikai Mao, Lingchen Zhao, Lei Xu +4
On-device machine learning (ML) introduces new security concerns about model privacy. Storing valuable trained ML models on user devices exposes them to potential extraction by adv…
cs.CR2025
Metadata-private Messaging without Coordination
Peipei Jiang, Yihao Wu, Lei Xu +6
For those seeking end-to-end private communication free from pervasive metadata tracking and censorship, the Tor network has been the de-facto choice in practice, despite its susce…
cs.CR2024
HORAM: A High-Performance Hierarchical Doubly Oblivious RAM
Leqian Zheng, Zheng Zhang, Wentao Dong +3
The combination of Oblivious RAM (ORAM) with Trusted Execution Environments (TEE) has found numerous real-world applications due to their complementary nature. TEEs alleviate the p…