Private set intersection (PSI) and its circuit variant (Circuit-PSI, CPSI) are core tools for privacy-preserving analytics. Unlike plain PSI that directly reveals intersecting elements, CPSI outputs secret shares of intersection indicators (and associated-value shares), which can be reused in subsequent MPC tasks witho...
Hai Zhang, Yi-Yun Guo, Li-Yan Shang et al.· International Conference on...· 0 citations
Accurate IoT device identification is critical to network forensics, access control, and anomaly detection in large-scale, security-sensitive environments. Federated learning (FL) provides a decentralized and privacy-enhancing approach well suited to IoT, but FL-based identification remains hampered by cross-client dat...
Tong Sun, Qian Lu, Hanlin Zhang et al.· IEEE Transactions on Informa...· 0 citations
A lightweight, privacy-preserving, and verifiable SVM training scheme designed for resource-constrained clients, which maintains stable classification performance while achieving an order-of-magnitude decrease in training runtime compared with existing ciphertext-based methods.
Shimao Yu, Liang Su, Hanlin Zhang· Cryptography· 0 citations
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