Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
Personalized privacy preservation
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Private Information: To Reveal or not to Reveal
ACM Transactions on Information and System Security (TISSEC)
Branching and bounds tighteningtechniques for non-convex MINLP
Optimization Methods & Software - GLOBAL OPTIMIZATION
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Online services such as social care, tax services, bank loans and many others, request individuals to fill in application forms with hundreds of private data items, in order to calibrate their offer. In practice, far too much data is requested, leading to over data disclosure. As shown in our previous works, avoiding this problem would (1) improve the privacy of the applicants and (2) decrease costs for service providers. We demonstrate here a prototype designed and implemented in partnership with the General Council of Yvelines District in France. The prototype targets forms used to calibrate social care for dependant people. To maintain the privacy of the decision process used to calibrate the social care, we propose a smartcard implementation. We will show that a 50% reduction of the items exposed in application forms can be achieved, explore the quality and scalability of our smartcard implementation, and demonstrate its scope.