Anonymity test attacks and vulnerability indicators for the “Patient characteristics” disclosure in medical articles
Author:
Affiliation:
1. The University of Tokyo,Tokyo,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9799286/9799291/09799414.pdf?arnumber=9799414
Reference12 articles.
1. Exposed! A Survey of Attacks on Private Data
2. Differential Privacy: A Survey of Results
3. Unblinding in Randomized Controlled Trials: A Research Ethics Case
4. A Novel User-Friendly Score (HAS-BLED) To Assess 1-Year Risk of Major Bleeding in Patients With Atrial Fibrillation
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1. Blockchain and Homomorphic Encryption for Data Security and Statistical Privacy;Electronics;2024-08-01
2. Impact of Anonymity Indicator "PFDOC Entropy l-Diversity" on Medical Data Utility;2023 Eleventh International Symposium on Computing and Networking Workshops (CANDARW);2023-11-27
3. Disclosure of Multiple "Patient Characteristics" Format Statistics leaks Quasi-identifier Linkage;Proceedings of the 9th ACM International Workshop on Security and Privacy Analytics;2023-04-24
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