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Incremental Clustering Techniques for Multi-Party Privacy-Preserving Record Linkage.

, , и . CoRR, (2019)

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Другие публикации лиц с тем же именем

Incremental clustering techniques for multi-party Privacy-Preserving Record Linkage., , и . Data Knowl. Eng., (2020)Tree Based Scalable Indexing for Multi-Party Privacy-Preserving Record Linkage., , и . AusDM, том 158 из CRPIT, стр. 31-42. Australian Computer Society, (2014)Privacy-Preserving Schemes for Safeguarding Heterogeneous Data Sources in Cyber-Physical Systems., , , , и . IEEE Access, (2021)An Evaluation Framework for Privacy-Preserving Record Linkage., , , и . J. Priv. Confidentiality, (2014)Data and Model Dependencies of Membership Inference Attack., , , и . CoRR, (2020)Secure Multi-party Summation Protocols: Are They Secure Enough Under Collusion?, , и . Trans. Data Priv., 13 (1): 25-60 (2020)Privacy-Preserving Techniques for Protecting Large-Scale Data of Cyber-Physical Systems., , , , и . MSN, стр. 711-717. IEEE, (2020)Privacy-Preserving Record Linkage., , и . Encyclopedia of Big Data Technologies, Springer, (2019)Modern Privacy-Preserving Record Linkage Techniques: An Overview., , , и . IEEE Trans. Inf. Forensics Secur., (2021)Local Differentially Private Fuzzy Counting in Stream Data Using Probabilistic Data Structures., , и . IEEE Trans. Knowl. Data Eng., 35 (8): 8185-8198 (августа 2023)