{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:37:02Z","timestamp":1723016222805},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7]]},"abstract":"<jats:p>Good training data is a prerequisite to develop useful Machine Learning applications. However, in many domains existing data sets  cannot be shared due to privacy regulations (e.g., from medical studies). This work investigates a simple yet unconventional approach for anonymized data synthesis to enable third parties to benefit from such anonymized data. We explore the feasibility of learning implicitly from visually unrealistic, task-relevant stimuli, which are synthesized by exciting the neurons of a  trained  deep neural network. As such, neuronal excitation can be used to generate synthetic stimuli.  The stimuli data is used to train new classification models. Furthermore, we extend this framework to inhibit representations that are associated with specific individuals. Extensive comparative empirical investigation  shows that different algorithms trained on the stimuli are able to generalize successfully on  the same task as the original model.<\/jats:p>","DOI":"10.24963\/ijcai.2022\/806","type":"proceedings-article","created":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T22:55:56Z","timestamp":1657925756000},"page":"5762-5766","source":"Crossref","is-referenced-by-count":0,"title":["Learning  Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization (Extended Abstract)"],"prefix":"10.24963","author":[{"given":"Konstantinos","family":"Nikolaidis","sequence":"first","affiliation":[{"name":"University of Oslo"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stein","family":"Kristiansen","sequence":"additional","affiliation":[{"name":"University of Oslo"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Plagemann","sequence":"additional","affiliation":[{"name":"University of Oslo"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vera","family":"Goebel","sequence":"additional","affiliation":[{"name":"University of Oslo"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Knut","family":"Liest\u00f8l","sequence":"additional","affiliation":[{"name":"University of Oslo"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohan","family":"Kankanhalli","sequence":"additional","affiliation":[{"name":"National University of Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gunn-Marit","family":"Traaen","sequence":"additional","affiliation":[{"name":"Department of Cardiology, Oslo University Hospital Rikshospitalet, Oslo, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Britt","family":"\u00d8verland","sequence":"additional","affiliation":[{"name":"Department of Otorhinolaryngology, Head \\& Neck Surgery, Sleep Unit Lovisenberg Diakonale Hospital, Oslo, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harriet","family":"Akre","sequence":"additional","affiliation":[{"name":"Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lars","family":"Aakeroy","sequence":"additional","affiliation":[{"name":"Department of Circulation and Medical Imaging, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Trondheim, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sigurd","family":"Steinshamn","sequence":"additional","affiliation":[{"name":"Department of Circulation and Medical Imaging, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Trondheim, Norway"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"31","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2022","name":"Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}","start":{"date-parts":[[2022,7,23]]},"theme":"Artificial Intelligence","location":"Vienna, Austria","end":{"date-parts":[[2022,7,29]]}},"container-title":["Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T07:11:42Z","timestamp":1658128302000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2022\/806"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2022\/806","relation":{},"subject":[],"published":{"date-parts":[[2022,7]]}}}