{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T11:34:55Z","timestamp":1761392095126,"version":"3.37.3"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,4]],"date-time":"2023-06-04T00:00:00Z","timestamp":1685836800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100011038","name":"Office of the Director of National Intelligence","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100011038","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100011039","name":"Intelligence Advanced Research Projects Activity","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100011039","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,4]]},"DOI":"10.1109\/icassp49357.2023.10096235","type":"proceedings-article","created":{"date-parts":[[2023,5,5]],"date-time":"2023-05-05T17:28:30Z","timestamp":1683307710000},"page":"1-5","source":"Crossref","is-referenced-by-count":4,"title":["Toward Privacy-Enhancing Ambulatory-Based Well-Being Monitoring: Investigating User Re-Identification Risk in Multimodal Data"],"prefix":"10.1109","author":[{"given":"Ravi","family":"Pranjal","sequence":"first","affiliation":[{"name":"Texas A&#x0026;M University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ranjana","family":"Seshadri","sequence":"additional","affiliation":[{"name":"Texas A&#x0026;M University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rakesh","family":"Kumar Sanath Kumar Kadaba","sequence":"additional","affiliation":[{"name":"Texas A&#x0026;M University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tiantian","family":"Feng","sequence":"additional","affiliation":[{"name":"University of Southern California"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shrikanth S.","family":"Narayanan","sequence":"additional","affiliation":[{"name":"University of Southern California"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Theodora","family":"Chaspari","sequence":"additional","affiliation":[{"name":"Texas A&#x0026;M University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3422337.3447836"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3319535.3363201"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2012-001026"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3243734.3243855"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CSF.2016.32"},{"article-title":"Digital health consumer adoption report 2019","year":"2019","author":"day","key":"ref2"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2196\/12286"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.7861\/clinmed.2020-0502"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.suc.2008.04.004"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.56553\/popets-2023-0007"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1197\/jamia.M2716"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3382507.3418833"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6307"},{"key":"ref26","article-title":"Learning anonymized representations with adversarial neural networks","author":"feutry","year":"2018","journal-title":"International Workshop on Machine Learning and Artificial Intelligence (MLAI)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-00655-3"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2012-001047"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACII52823.2021.9597433"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2012-001032"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813677"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2021.3909"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3359789.3359824"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ribaf.2018.09.007"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2196\/14512"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2017.2737533"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.24251\/HICSS.2019.862"}],"event":{"name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2023,6,4]]},"location":"Rhodes Island, Greece","end":{"date-parts":[[2023,6,10]]}},"container-title":["ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10094559\/10094560\/10096235.pdf?arnumber=10096235","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,20]],"date-time":"2023-11-20T19:05:36Z","timestamp":1700507136000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10096235\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,4]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icassp49357.2023.10096235","relation":{},"subject":[],"published":{"date-parts":[[2023,6,4]]}}}