{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T01:05:22Z","timestamp":1770339922533,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,5,22]],"date-time":"2020-05-22T00:00:00Z","timestamp":1590105600000},"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":[[2020,5,22]]},"DOI":"10.1145\/3393527.3393535","type":"proceedings-article","created":{"date-parts":[[2020,10,27]],"date-time":"2020-10-27T02:21:28Z","timestamp":1603765288000},"page":"39-44","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Privacy-preserving collaborative machine learning on genomic data using TensorFlow"],"prefix":"10.1145","author":[{"given":"Cheng","family":"Hong","sequence":"first","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Zhicong","family":"Huang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Wen-jie","family":"Lu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Hunter","family":"Qu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Hangzhou, China"}]},{"given":"Li","family":"Ma","sequence":"additional","affiliation":[{"name":"Alibaba Health Beijing, China"}]},{"given":"Morten","family":"Dahl","sequence":"additional","affiliation":[{"name":"Dropout Labs"}]},{"given":"Jason","family":"Mancuso","sequence":"additional","affiliation":[{"name":"Dropout Labs"}]}],"member":"320","published-online":{"date-parts":[[2020,10,26]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"TensorFlow: A System for Large-Scale Machine Learning. In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16)","author":"Abadi Mart\u00edn","year":"2016","unstructured":"Mart\u00edn Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , Manjunath Kudlur , Josh Levenberg , Rajat Monga , Sherry Moore , Derek G. Murray , Benoit Steiner , Paul Tucker , Vijay Vasudevan , Pete Warden , Martin Wicke , Yuan Yu , and Xiaoqiang Zheng . 2016 . TensorFlow: A System for Large-Scale Machine Learning. In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16) . USENIX Association, Savannah, GA, 265--283. https:\/\/www.usenix.org\/conference\/osdi16\/technical-sessions\/presentation\/abadi Mart\u00edn Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2016. TensorFlow: A System for Large-Scale Machine Learning. In 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16). USENIX Association, Savannah, GA, 265--283. https:\/\/www.usenix.org\/conference\/osdi16\/technical-sessions\/presentation\/abadi"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"e_1_3_2_1_3_1","volume-title":"Neural networks: Tricks of the trade","author":"Bottou L\u00e9on","unstructured":"L\u00e9on Bottou . 2012. Stochastic gradient descent tricks . In Neural networks: Tricks of the trade . Springer , 421--436. L\u00e9on Bottou. 2012. Stochastic gradient descent tricks. In Neural networks: Tricks of the trade. Springer, 421--436."},{"key":"e_1_3_2_1_4_1","volume-title":"The triple negative paradox: primary tumor chemosensitivity of breast cancer subtypes. Clinical cancer research 13, 8","author":"Carey Lisa A","year":"2007","unstructured":"Lisa A Carey , E Claire Dees , Lynda Sawyer , Lisa Gatti , Dominic T Moore , Frances Collichio , David W Ollila , Carolyn I Sartor , Mark L Graham , and Charles M Perou . 2007. The triple negative paradox: primary tumor chemosensitivity of breast cancer subtypes. Clinical cancer research 13, 8 ( 2007 ), 2329--2334. Lisa A Carey, E Claire Dees, Lynda Sawyer, Lisa Gatti, Dominic T Moore, Frances Collichio, David W Ollila, Carolyn I Sartor, Mark L Graham, and Charles M Perou. 2007. The triple negative paradox: primary tumor chemosensitivity of breast cancer subtypes. Clinical cancer research 13, 8 (2007), 2329--2334."},{"key":"e_1_3_2_1_5_1","volume-title":"Ezpc: Programmable, efficient, and scalable secure two-party computation for machine learning. ePrint Report 1109","author":"Chandran Nishanth","year":"2017","unstructured":"Nishanth Chandran , Divya Gupta , Aseem Rastogi , Rahul Sharma , and Shardul Tripathi . 2017 . Ezpc: Programmable, efficient, and scalable secure two-party computation for machine learning. ePrint Report 1109 (2017). Nishanth Chandran, Divya Gupta, Aseem Rastogi, Rahul Sharma, and Shardul Tripathi. 2017. Ezpc: Programmable, efficient, and scalable secure two-party computation for machine learning. ePrint Report 1109 (2017)."},{"key":"e_1_3_2_1_6_1","volume-title":"Secure genome-wide association analysis using multiparty computation. Nature biotechnology 36, 6","author":"Cho Hyunghoon","year":"2018","unstructured":"Hyunghoon Cho , David J Wu , and Bonnie Berger . 2018. Secure genome-wide association analysis using multiparty computation. Nature biotechnology 36, 6 ( 2018 ), 547. Hyunghoon Cho, David J Wu, and Bonnie Berger. 2018. Secure genome-wide association analysis using multiparty computation. Nature biotechnology 36, 6 (2018), 547."},{"key":"e_1_3_2_1_7_1","volume-title":"Private machine learning in TensorFlow using secure computation. arXiv preprint arXiv:1810.08130","author":"Dahl Morten","year":"2018","unstructured":"Morten Dahl , Jason Mancuso , Yann Dupis , Ben Decoste , Morgan Giraud , Ian Livingstone , Justin Patriquin , and Gavin Uhma . 2018. Private machine learning in TensorFlow using secure computation. arXiv preprint arXiv:1810.08130 ( 2018 ). Morten Dahl, Jason Mancuso, Yann Dupis, Ben Decoste, Morgan Giraud, Ian Livingstone, Justin Patriquin, and Gavin Uhma. 2018. Private machine learning in TensorFlow using secure computation. arXiv preprint arXiv:1810.08130 (2018)."},{"key":"e_1_3_2_1_8_1","volume-title":"Regression modeling strategies","author":"Harrell Frank E","unstructured":"Frank E Harrell . 2015. Ordinal logistic regression . In Regression modeling strategies . Springer , 311--325. Frank E Harrell. 2015. Ordinal logistic regression. In Regression modeling strategies. Springer, 311--325."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrg3920"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa063994"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0272-6386(12)70364-5"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3243734.3243760"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.12"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa041588"},{"key":"e_1_3_2_1_15_1","unstructured":"Peter Rindal. 2019. The ABY3 Framework for Machine Learning and Database Operations. https:\/\/github.com\/ladnir\/aby3.  Peter Rindal. 2019. The ABY3 Framework for Machine Learning and Database Operations. https:\/\/github.com\/ladnir\/aby3."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1634\/theoncologist.2007-0248"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa021967"},{"key":"e_1_3_2_1_18_1","volume-title":"Yi Zhang, Anieta M Sieuwerts, Maxime P Look, Fei Yang, Dmitri Talantov, Mieke Timmermans, Marion E Meijer-van Gelder, Jack Yu, et al.","author":"Wang Yixin","year":"2005","unstructured":"Yixin Wang , Jan GM Klijn , Yi Zhang, Anieta M Sieuwerts, Maxime P Look, Fei Yang, Dmitri Talantov, Mieke Timmermans, Marion E Meijer-van Gelder, Jack Yu, et al. 2005 . Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. The Lancet 365, 9460 (2005), 671--679. Yixin Wang, Jan GM Klijn, Yi Zhang, Anieta M Sieuwerts, Maxime P Look, Fei Yang, Dmitri Talantov, Mieke Timmermans, Marion E Meijer-van Gelder, Jack Yu, et al. 2005. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. The Lancet 365, 9460 (2005), 671--679."}],"event":{"name":"ACM TURC'20: ACM Turing Celebration Conference - China","location":"Hefei China","acronym":"ACM TURC'20","sponsor":["Baidu Research Baidu Research"]},"container-title":["Proceedings of the ACM Turing Celebration Conference - China"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3393527.3393535","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3393527.3393535","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:17Z","timestamp":1750200077000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3393527.3393535"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,22]]},"references-count":18,"alternative-id":["10.1145\/3393527.3393535","10.1145\/3393527"],"URL":"https:\/\/doi.org\/10.1145\/3393527.3393535","relation":{},"subject":[],"published":{"date-parts":[[2020,5,22]]},"assertion":[{"value":"2020-10-26","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}