Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data - researchr publication authors

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Yoan Miché, Ian Oliver, Silke Holtmanns, Aapo Kalliola, Anton Akusok, Amaury Lendasse, Kaj-Mikael Björk. Data Anonymization as a Vector Quantization Problem: Control Over Privacy for Health Data. In Francesco Buccafurri, Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar R. Weippl, editors, Availability, Reliability, and Security in Information Systems - IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016, and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, Salzburg, Austria, August 31 - September 2, 2016, Proceedings. Volume 9817 of Lecture Notes in Computer Science, pages 193-203, Springer, 2016. [doi]

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