{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T09:16:18Z","timestamp":1742807778819},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685335","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,8,22]],"date-time":"2024-08-22T00:00:00Z","timestamp":1724284800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,22]]},"abstract":"<jats:p>The identification of vulnerable records (targets) is an important step for many privacy attacks on protected health data. We implemented and evaluated three outlier metrics for detecting potential targets. Next, we assessed differences and similarities between the top-k targets suggested by the different methods and studied how susceptible those targets are to membership inference attacks on synthetic data. Our results suggest that there is no one-size-fits-all approach and that target selection methods should be chosen based on the type of attack that is to be performed.<\/jats:p>","DOI":"10.3233\/shti240631","type":"book-chapter","created":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:07:32Z","timestamp":1724407652000},"source":"Crossref","is-referenced-by-count":1,"title":["Are You the Outlier? Identifying Targets for Privacy Attacks on Health Datasets"],"prefix":"10.3233","author":[{"given":"Mehmed","family":"Halilovic","sequence":"first","affiliation":[{"name":"Berlin Institute of Health at Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Center of Health Data Science, Charit\u00e9platz 1, 10117 Berlin, Germany"}]},{"given":"Thierry","family":"Meurers","sequence":"additional","affiliation":[{"name":"Berlin Institute of Health at Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Center of Health Data Science, Charit\u00e9platz 1, 10117 Berlin, Germany"}]},{"given":"Karen","family":"Otte","sequence":"additional","affiliation":[{"name":"Berlin Institute of Health at Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Center of Health Data Science, Charit\u00e9platz 1, 10117 Berlin, Germany"}]},{"given":"Fabian","family":"Prasser","sequence":"additional","affiliation":[{"name":"Berlin Institute of Health at Charit\u00e9 \u2013 Universit\u00e4tsmedizin Berlin, Center of Health Data Science, Charit\u00e9platz 1, 10117 Berlin, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Digital Health and Informatics Innovations for Sustainable Health Care Systems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240631","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,23]],"date-time":"2024-08-23T10:07:33Z","timestamp":1724407653000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240631"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,22]]},"ISBN":["9781643685335"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240631","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,22]]}}}