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From t-closeness to differential privacy and vice versa in data anonymization.

, и . Knowl. Based Syst., (2015)

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Olivier Comas

Victor Fernandovich Comas Lijachev

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Другие публикации лиц с тем же именем

Anonymization in the Time of Big Data., и . PSD, том 9867 из Lecture Notes in Computer Science, стр. 57-68. Springer, (2016)Sensitivity-Independent differential Privacy via Prior Knowledge Refinement., и . Int. J. Uncertain. Fuzziness Knowl. Based Syst., 20 (6): 855-876 (2012)Automatic Anonymization of Textual Documents: Detecting Sensitive Information via Word Embeddings., , , и . TrustCom/BigDataSE, стр. 358-365. IEEE, (2019)Efficient Near-Optimal Variable-Size Microaggregation., , и . MDAI, том 11676 из Lecture Notes in Computer Science, стр. 333-345. Springer, (2019)µ-ANT: semantic microaggregation-based anonymization tool., , , , и . Bioinform., 36 (5): 1652-1653 (2020)Steered Microaggregation as a Unified Primitive to Anonymize Data Sets and Data Streams., , и . IEEE Trans. Inf. Forensics Secur., 14 (12): 3298-3311 (2019)Multi-Dimensional Randomized Response., и . CoRR, (2020)Improving data utility in differential privacy and k-anony mity.. University of Rovira i Virgili, Spain, (2013)Differential privacy via t-closeness in data publishing., и . PST, стр. 27-35. IEEE Computer Society, (2013)Disclosure risk assessment via record linkage by a maximum-knowledge attacker., , и . PST, стр. 28-35. IEEE Computer Society, (2015)