{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T08:13:13Z","timestamp":1764835993499,"version":"3.46.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T00:00:00Z","timestamp":1756166400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T00:00:00Z","timestamp":1756166400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,26]]},"DOI":"10.1109\/pst65910.2025.11268860","type":"proceedings-article","created":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T18:40:04Z","timestamp":1764787204000},"page":"1-10","source":"Crossref","is-referenced-by-count":0,"title":["Cross-Boundary Privacy-Preserving Image Learning"],"prefix":"10.1109","author":[{"given":"Atsuko","family":"Miyaji","sequence":"first","affiliation":[{"name":"the University of Osaka,Graduate School of Engineering,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomoshi","family":"Yagishita","sequence":"additional","affiliation":[{"name":"the University of Osaka,Graduate School of Engineering,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuki","family":"Hyohdoh","sequence":"additional","affiliation":[{"name":"Center of Medical Information Science, Kochi University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierre","family":"Boudvillain","sequence":"additional","affiliation":[{"name":"the University of Osaka,Graduate School of Engineering,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2952146"},{"key":"ref2","article-title":"The deep learning revolution and its implications for computer architecture and chip design","author":"Dean","year":"2019","journal-title":"arXiv preprint arXiv:1911.05289"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11301"},{"article-title":"Local privacy, data processing inequalities, and statistical minimax rates","year":"2014","author":"Duchi","key":"ref4"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-79228-4_1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.29012\/jpc.v7i3.405"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-95729-6_10"},{"key":"ref8","first-page":"1626","article-title":"Local private hypothesis testing: Chi-square tests","volume-title":"Int. Conf. Mach. Learn.","author":"Gaboardi"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1515\/popets-2016-0047"},{"key":"ref10","first-page":"2436","article-title":"Discrete distribution estimation under local privacy","volume-title":"Int. Conf. Mach. Learn. (ICML).","author":"Kairouz"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3639411"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TrustCom56396.2022.00101"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/PST58708.2023.10320156"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1587\/transfun.2024TAP0011"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2018.2812146"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2019.00063"},{"key":"ref19","first-page":"729","article-title":"Locally differentially private protocols for frequency estimation","volume":"17","author":"Wang","year":"2017","journal-title":"USENIX Security"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.2307\/2283137"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/tifs.2020.2988575"},{"key":"ref22","article-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017","journal-title":"arXiv preprint arXiv:1708.07747"}],"event":{"name":"2025 22nd Annual International Conference on Privacy, Security, and Trust (PST)","start":{"date-parts":[[2025,8,26]]},"location":"Fredericton, NB, Canada","end":{"date-parts":[[2025,8,28]]}},"container-title":["2025 22nd Annual International Conference on Privacy, Security, and Trust (PST)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11268482\/11268814\/11268860.pdf?arnumber=11268860","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T08:09:43Z","timestamp":1764835783000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11268860\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,26]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/pst65910.2025.11268860","relation":{},"subject":[],"published":{"date-parts":[[2025,8,26]]}}}