Michael McQuaid
ABSTRACT
No abstract available.
Index Terms
- Usable deidentification of sensitive patient care data
Recommendations
Face deidentification with controllable privacy protection
Highlights- CPP-DeID is a face deidentification algorithm allowing for controllable privacy.
AbstractPrivacy protection has become a crucial concern in today’s digital age. Particularly sensitive here are facial images, which typically not only reveal a person’s identity, but also other sensitive personal information. To address this ...
Haphazard, enhanced haphazard and personalised anonymisation for privacy preserving data mining on sensitive data sources
Privacy preserving data mining is a fast growing new era of research due to recent advancements in information, data mining, communications and security technologies. Government agencies and many other non-governmental organisations often need to ...
Anonymizing transaction data to eliminate sensitive inferences
DEXA'10: Proceedings of the 21st international conference on Database and expert systems applications: Part IPublishing transaction data containing individuals' activities may risk privacy breaches, so the need for anonymizing such data before their release is increasingly recognized by organizations. Several approaches have been proposed recently to deal with ...
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