{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T00:19:17Z","timestamp":1773706757947,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,19]],"date-time":"2024-06-19T00:00:00Z","timestamp":1718755200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,21]]},"DOI":"10.1145\/3643651.3659891","type":"proceedings-article","created":{"date-parts":[[2024,6,11]],"date-time":"2024-06-11T00:20:03Z","timestamp":1718065203000},"page":"71-76","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Machine Learning Training on Encrypted Data with TFHE"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-4945-7161","authenticated-orcid":false,"given":"Luis","family":"Montero","sequence":"first","affiliation":[{"name":"Zama, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6218-5055","authenticated-orcid":false,"given":"Jordan","family":"Frery","sequence":"additional","affiliation":[{"name":"Zama, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5814-3266","authenticated-orcid":false,"given":"Celia","family":"Kherfallah","sequence":"additional","affiliation":[{"name":"Zama, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9523-7056","authenticated-orcid":false,"given":"Roman","family":"Bredehoft","sequence":"additional","affiliation":[{"name":"Zama, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3479-9565","authenticated-orcid":false,"given":"Andrei","family":"Stoian","sequence":"additional","affiliation":[{"name":"Zama, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,6,19]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-21568-2_29"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00145-023-09463--5"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12920-018-0398-y"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2633600"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-53887-6_1"},{"key":"e_1_3_2_1_6_1","volume-title":"Johann-Jakob Schmid, Sarbjit Sandhu, Kern Guppy, Stella Lee, and Victor Froelicher.","author":"Detrano Robert C.","year":"1989","unstructured":"Robert C. Detrano, Andr\u00e1s J\u00e1nosi, Walter Steinbrunn, Matthias Emil Pfisterer, Johann-Jakob Schmid, Sarbjit Sandhu, Kern Guppy, Stella Lee, and Victor Froelicher. 1989. International application of a new probability algorithm for the diagnosis of coronary artery disease. The American journal of cardiology , Vol. 64 5 (1989), 304--10. https:\/\/api.semanticscholar.org\/CorpusID:23545303"},{"key":"e_1_3_2_1_7_1","unstructured":"Ely D.M. Driscoll A.K. and Mathews T.J. 2017. Infant mortality rates in rural and urban areas in the United States 2014. NCHS data brief no 285. Hyattsville MD: National Center for Health Statistics (2017). https:\/\/www.cdc.gov\/nchs\/products\/databriefs\/db285.htm"},{"key":"e_1_3_2_1_8_1","unstructured":"Junfeng Fan and Frederik Vercauteren. 2012. Somewhat practical fully homomorphic encryption. Cryptology ePrint Archive Report 2012\/144. https:\/\/ia.cr\/2012\/144."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33019466"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12920-018-0401-7"},{"key":"e_1_3_2_1_12_1","volume-title":"Geoffrey Charles Fox, and Lei Jiang","author":"Lou Qian","year":"2020","unstructured":"Qian Lou, Bo Feng, Geoffrey Charles Fox, and Lei Jiang. 2020. Glyph: Fast and accurately training deep neural networks on encrypted data. Advances in neural information processing systems , Vol. 33 (2020), 9193--9202."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00011"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-34671-2_34"},{"key":"e_1_3_2_1_15_1","volume-title":"Mangasarian","author":"Street William Nick","year":"1993","unstructured":"William Nick Street, William H. Wolberg, and Olvi L. Mangasarian. 1993. Nuclear feature extraction for breast tumor diagnosis. In Electronic imaging. https:\/\/api.semanticscholar.org\/CorpusID:14922543"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3149787"},{"key":"e_1_3_2_1_17_1","volume-title":"Training and Inference with Integers in Deep Neural Networks. In International Conference on Learning Representations.","author":"Wu Shuang","year":"2018","unstructured":"Shuang Wu, Guoqi Li, Feng Chen, and Luping Shi. 2018. Training and Inference with Integers in Deep Neural Networks. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_18_1","volume-title":"International Conference on Machine Learning. PMLR, 7015--7024","author":"Yang Guandao","year":"2019","unstructured":"Guandao Yang, Tianyi Zhang, Polina Kirichenko, Junwen Bai, Andrew Gordon Wilson, and Chris De Sa. 2019. SWALP: Stochastic weight averaging in low precision training. In International Conference on Machine Learning. PMLR, 7015--7024."}],"event":{"name":"CODASPY '24: Fourteenth ACM Conference on Data and Application Security and Privacy","location":"Porto Portugal","acronym":"CODASPY '24","sponsor":["SIGSAC ACM Special Interest Group on Security, Audit, and Control"]},"container-title":["Proceedings of the 10th ACM International Workshop on Security and Privacy Analytics"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3643651.3659891","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3643651.3659891","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T18:32:10Z","timestamp":1755973930000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3643651.3659891"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,19]]},"references-count":18,"alternative-id":["10.1145\/3643651.3659891","10.1145\/3643651"],"URL":"https:\/\/doi.org\/10.1145\/3643651.3659891","relation":{},"subject":[],"published":{"date-parts":[[2024,6,19]]},"assertion":[{"value":"2024-06-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}