This paper follows the original security method of DualRing-LB and applies the trapdoor sampling technique to derive a tighter upper bound of MSIS problem, yielding a fixed security level independent of the ring size, and proposes three practical lattice-based instantiations that reduce the public key size by 56%, 67%,...
Guang-Yu Liao, Zeng-Peng Li, Guang-Sheng Feng et al.· International Journal of Inf...· 0 citations
This paper presents MESS, a system that ensures data, query, and access pattern privacy, and constructs a multi-graph Hierarchical Navigable Small World (HNSW) index over the perturbed codes, and gives formal analysis of the system's privacy and extensive evaluation of its performance.
Haoyu Cui, Zengpeng Li, Tien Tuan Anh Dinh et al.· arXiv.org· 2 citations· ⚡1
Secure Federated Learning protects user privacy by keeping local gradients within the ciphertext space, thereby preventing direct exposure of raw gradients during aggregation. Paradoxically, this very protection introduces a fundamental vulnerability: the opacity of encrypted gradients blinds the server, rendering hone...
Jinbo Wang, Ruijin Wang, Zengpeng Li et al.· IEEE Transactions on Informa...· 0 citations
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