{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T02:03:11Z","timestamp":1771466591242,"version":"3.50.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T00:00:00Z","timestamp":1701388800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&#x0026;D Program of China","award":["2021YFB3101100"],"award-info":[{"award-number":["2021YFB3101100"]}]},{"name":"Major Research Plan of the National Natural Science Foundation of China","award":["92267204"],"award-info":[{"award-number":["92267204"]}]},{"name":"Major Research Plan of the National Natural Science Foundation of China","award":["92167203"],"award-info":[{"award-number":["92167203"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62220106004"],"award-info":[{"award-number":["62220106004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61972306"],"award-info":[{"award-number":["61972306"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key R&#x0026;D Program of Shaanxi","award":["2022KXJ-093"],"award-info":[{"award-number":["2022KXJ-093"]}]},{"name":"Key R&#x0026;D Program of Shaanxi","award":["2021ZDLGY03-10"],"award-info":[{"award-number":["2021ZDLGY03-10"]}]},{"name":"Key R&#x0026;D Program of Shaanxi","award":["2021ZDLGY07-05"],"award-info":[{"award-number":["2021ZDLGY07-05"]}]},{"name":"Natural Science Basis Research Plan in Shaanxi Province of China","award":["2022JM-338"],"award-info":[{"award-number":["2022JM-338"]}]},{"name":"Innovation Capability Support Program of Shaanxi","award":["2023-CXTD-02"],"award-info":[{"award-number":["2023-CXTD-02"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2021MD703967"],"award-info":[{"award-number":["2021MD703967"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2021LZH006"],"award-info":[{"award-number":["ZR2021LZH006"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["XJSJ23040"],"award-info":[{"award-number":["XJSJ23040"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Comput."],"published-print":{"date-parts":[[2023,12]]},"DOI":"10.1109\/tc.2023.3305754","type":"journal-article","created":{"date-parts":[[2023,8,18]],"date-time":"2023-08-18T17:16:43Z","timestamp":1692379003000},"page":"3519-3531","source":"Crossref","is-referenced-by-count":15,"title":["Private Inference for Deep Neural Networks: A Secure, Adaptive, and Efficient Realization"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7948-819X","authenticated-orcid":false,"given":"Ke","family":"Cheng","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0690-5321","authenticated-orcid":false,"given":"Ning","family":"Xi","sequence":"additional","affiliation":[{"name":"School of Cyber Engineering, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4238-3295","authenticated-orcid":false,"given":"Ximeng","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer and Data Science, Fuzhou University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7677-6193","authenticated-orcid":false,"given":"Xinghui","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4969-5718","authenticated-orcid":false,"given":"Haichang","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6455-6866","authenticated-orcid":false,"given":"Zhiwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8448-705X","authenticated-orcid":false,"given":"Yulong","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Xidian University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","author":"gentry","year":"0","journal-title":"A Fully Homomorphic Encryption Scheme"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545612"},{"key":"ref12","first-page":"1","article-title":"SAFENet: A secure, accurate and fast neural network inference","author":"lou","year":"0","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref15","volume":"2","author":"goldreich","year":"0","journal-title":"Foundations of Cryptography"},{"key":"ref37","first-page":"116","article-title":"ShuffleNet V2: Practical guidelines for efficient CNN architecture design","author":"ma","year":"0","journal-title":"Proc Eur Conf Comput Vision (ECCV)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-73458-1_30"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413592"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134012"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"ref11","article-title":"Neural architecture search with reinforcement learning","author":"zoph","year":"0"},{"key":"ref33","first-page":"1310","article-title":"Privacy-preserving deep learning","author":"shokri","year":"0","journal-title":"Proc 22nd ACM SIGSAC Conf Comput Commun Secur"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3314221.3314628"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2886017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-56877-1_7"},{"key":"ref1","article-title":"Privacy in deep learning: A survey","author":"mireshghallah","year":"0"},{"key":"ref17","first-page":"1501","article-title":"XONN: XNOR-based oblivious deep neural network inference","author":"riazi","year":"2019","journal-title":"Proc 28th USENIX Secur Symp (USENIX Secur )"},{"key":"ref39","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"0"},{"key":"ref16","article-title":"CryptoDL: Deep neural networks over encrypted data","author":"hesamifard","year":"0"},{"key":"ref38","first-page":"163","article-title":"A generalized Taylor formula for solutions of stochastic equations","volume":"44","author":"platen","year":"1982","journal-title":"Sankhya The Indian J Statist Ser A"},{"key":"ref19","first-page":"16961","article-title":"CryptoNAS: Private inference on a ReLU budget","volume":"33","author":"ghodsi","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3460120.3484797"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3319535.3339819"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2022.3141391"},{"key":"ref45","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-46766-1_34"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/1029179.1029204"},{"key":"ref20","first-page":"4839","article-title":"DeepReDuce: ReLU reduction for fast private inference","author":"jha","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref42","article-title":"Proximal policy optimization algorithms","author":"schulman","year":"0"},{"key":"ref41","first-page":"1","article-title":"Sisyphus: A cautionary tale of using low-degree polynomial activations in privacy-preserving deep learning","author":"garimella","year":"0","journal-title":"Proc Privacy Preserving Mach Learn Workshop (PPML ACM CCS)"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2021.3138611"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS.2012.6412624"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.12"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.cnsns.2009.11.004"},{"key":"ref28","first-page":"144","article-title":"Somewhat practical fully homomorphic encryption","volume":"2012","author":"fan","year":"2012","journal-title":"IACR Cryptol ePrint Arch"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/2508859.2516738"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2016.7900006"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s00145-008-9036-8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48910-X_16"},{"key":"ref9","first-page":"201","article-title":"CryptoNets: Applying neural networks to encrypted data with high throughput and accuracy","author":"gilad-bachrach","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref4","first-page":"2505","article-title":"Delphi: A cryptographic inference service for neural networks","author":"mishra","year":"0","journal-title":"Proc 29th USENIX Secur Symp (USENIX Secur )"},{"key":"ref3","first-page":"1651","article-title":"Gazelle: A low latency framework for secure neural network inference","author":"juvekar","year":"2018","journal-title":"Proc 27th USENIX Secur Symp (USENIX Secur )"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2015.23113"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3417274"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"}],"container-title":["IEEE Transactions on Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/12\/10311055\/10224651.pdf?arnumber=10224651","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T19:55:36Z","timestamp":1702324536000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10224651\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12]]},"references-count":46,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/tc.2023.3305754","relation":{},"ISSN":["0018-9340","1557-9956","2326-3814"],"issn-type":[{"value":"0018-9340","type":"print"},{"value":"1557-9956","type":"electronic"},{"value":"2326-3814","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12]]}}}