悬崖 发表于 2025-3-30 10:27:56
Efficient Updateable Private Set Intersection on Outsourced Datasetsd data. We use an Elastic Bloom Filter to store data and compute intersections, which can dramatically improve intersection computation efficiency. Theoretically, we analyze the complexity of the protocol and prove its security in a semi-honest model. We compare it with related protocols and demonstNIL 发表于 2025-3-30 15:37:55
http://reply.papertrans.cn/103/10217/1021662/1021662_52.pngNmda-Receptor 发表于 2025-3-30 17:14:32
http://reply.papertrans.cn/103/10217/1021662/1021662_53.png大暴雨 发表于 2025-3-30 21:49:55
http://reply.papertrans.cn/103/10217/1021662/1021662_54.png闷热 发表于 2025-3-31 01:05:53
http://reply.papertrans.cn/103/10217/1021662/1021662_55.pngJIBE 发表于 2025-3-31 05:44:26
http://reply.papertrans.cn/103/10217/1021662/1021662_56.png哥哥喷涌而出 发表于 2025-3-31 11:15:04
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Parallel Secure Inference for Multiple Models Based on CKKSmultaneously to decrease the number of decrypt operations and communication. Subsequently, we apply the two parallel techniques to phenotypic inference from genetic data. Experimental results show that our method improves the performance by at least 47.8% compared to the method without parallel techIrrepressible 发表于 2025-3-31 20:13:18
PrivRBFN: Building Privacy-Preserving Radial Basis Function Networks Based on Federated Learninggorithm called PrivRBFN to build a privacy-preserving RBF network based on federated learning. PrivRBFN is tailored for RBF networks with Gaussian radial basis functions. It allows the clients involved in federated learning to upload approximate radial bases of their local models to the server for mResign 发表于 2025-3-31 21:51:00
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