{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T16:43:21Z","timestamp":1761324201826,"version":"3.28.0"},"reference-count":30,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/wifs.2018.8630790","type":"proceedings-article","created":{"date-parts":[[2019,2,1]],"date-time":"2019-02-01T00:51:36Z","timestamp":1548982296000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Privacy-Preserving Distributed Deep Learning with Privacy Transformations"],"prefix":"10.1109","author":[{"given":"Sen-ching S.","family":"Cheung","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Usman","family":"Rafique","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wai-tian","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref30","DOI":"10.1109\/TC.2015.2470255"},{"key":"ref10","first-page":"201","article-title":"Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy","author":"gilad-bachrach","year":"2016","journal-title":"In International Conference on Machine Learning"},{"key":"ref11","first-page":"249","author":"glorot","year":"2010","journal-title":"Understanding the difficulty of training deep feedforward neural networks"},{"key":"ref12","first-page":"770","author":"he","year":"2016","journal-title":"Deep residual learning for image recognition"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1145\/3133956.3134012"},{"year":"2017","author":"kotikalapudi","journal-title":"Residual networks implementation using keras-1 0 functional api","key":"ref14"},{"year":"2009","author":"krizhevsky","journal-title":"Learning multiple layers of features from tiny images","key":"ref15"},{"key":"ref16","article-title":"Mnist handwritten digit database","author":"lecun","year":"2010","journal-title":"AT &T Labs"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.2200\/S00735ED1V01Y201609SPT018"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1016\/j.neucom.2008.11.005"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1109\/SP.2015.29","article-title":"A programming framework for secure computation","author":"liu","year":"2015","journal-title":"Security and Privacy (SP) 2015 IEEE Symposium on"},{"year":"2014","author":"stallings","journal-title":"Cryptography and Network Security Principles and Practices","key":"ref28"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1016\/j.engappai.2012.01.007"},{"key":"ref27","first-page":"1310","article-title":"Privacy-preserving deep learning","author":"shokri","year":"2015","journal-title":"in Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security"},{"key":"ref3","first-page":"159756","article-title":"Privacy-preserving generative deep neural networks support clinical data sharing","author":"beaulieu-jones","year":"2017","journal-title":"BioRxiv"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1145\/3133956.3133982"},{"key":"ref29","first-page":"39","author":"tao","year":"2015","journal-title":"Improving the biclique cryptanalysis of aes"},{"key":"ref5","first-page":"245","author":"bingham","year":"2001","journal-title":"Random projection in dimensionality reduction Applications to image and text data"},{"key":"ref8","article-title":"A review on neural networks with random weights","author":"cao","year":"2017","journal-title":"Neurocomputing"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/WIFS.2016.7823913"},{"doi-asserted-by":"publisher","key":"ref2","DOI":"10.1145\/375551.375608"},{"key":"ref9","article-title":"Privacy-preserving classification on deep neural network","volume":"35","author":"chabanne","year":"2017","journal-title":"IACR Cryptology ePrint Archive 2017"},{"key":"ref1","first-page":"308","author":"abadi","year":"2016","journal-title":"Deep Learning with Differential Privacy"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/SP.2017.12"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/ARCSE.2015.7338131"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1109\/EuroSP.2016.20"},{"key":"ref24","first-page":"1309","article-title":"Differential privacy preservation for deep auto-encoders: an application of human behavior prediction","author":"phan","year":"2016","journal-title":"In AAAI"},{"year":"2010","author":"ostrosky","journal-title":"Foundations of Cryptography","key":"ref23"},{"key":"ref26","article-title":"Deepsecure: Scalable provably-secure deep learning","author":"rouhani","year":"2017","journal-title":"arXiv preprint arXiv 1705 08963"},{"key":"ref25","volume":"10","author":"prabhakaran","year":"2013","journal-title":"Secure Multi-Party Computation"}],"event":{"name":"2018 IEEE International Workshop on Information Forensics and Security (WIFS)","start":{"date-parts":[[2018,12,11]]},"location":"Hong Kong, Hong Kong","end":{"date-parts":[[2018,12,13]]}},"container-title":["2018 IEEE International Workshop on Information Forensics and Security (WIFS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8627366\/8630758\/08630790.pdf?arnumber=8630790","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T23:56:17Z","timestamp":1643241377000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8630790\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/wifs.2018.8630790","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}