{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T18:52:29Z","timestamp":1767120749221,"version":"3.48.0"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62272498"],"award-info":[{"award-number":["62272498"]}],"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":["W2512008"],"award-info":[{"award-number":["W2512008"]}],"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":["62572500"],"award-info":[{"award-number":["62572500"]}],"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":["62025604"],"award-info":[{"award-number":["62025604"]}],"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":["62261160653"],"award-info":[{"award-number":["62261160653"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021171","name":"Basic and Applied Basic Research Foundation of Guangdong Province","doi-asserted-by":"publisher","award":["2023A1515030087"],"award-info":[{"award-number":["2023A1515030087"]}],"id":[{"id":"10.13039\/501100021171","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangdong Provincial Key Laboratory of Information Security Technology","award":["2023B1212060026"],"award-info":[{"award-number":["2023B1212060026"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tip.2025.3641310","type":"journal-article","created":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T18:49:42Z","timestamp":1765997382000},"page":"8568-8582","source":"Crossref","is-referenced-by-count":0,"title":["Privacy-Preserving CNN Inference for Image Super-Resolution Cross Multiple Ciphertexts"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0979-8613","authenticated-orcid":false,"given":"Peijia","family":"Zheng","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Guangdong Province Key Laboratory of Information Security Technology, and the MoE Key Laboratory of Information Technology, Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donger","family":"Mo","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Guangdong Province Key Laboratory of Information Security Technology, and the MoE Key Laboratory of Information Technology, Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-3494-7663","authenticated-orcid":false,"given":"Yufei","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Guangdong Province Key Laboratory of Information Security Technology, and the MoE Key Laboratory of Information Technology, Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangyu","family":"Gao","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Guangdong Province Key Laboratory of Information Security Technology, and the MoE Key Laboratory of Information Technology, Sun Yat-sen University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7141-708X","authenticated-orcid":false,"given":"Xiaochun","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Sun Yat-sen University, Shenzhen Campus, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7625-5689","authenticated-orcid":false,"given":"Jiwu","family":"Huang","sequence":"additional","affiliation":[{"name":"Guangdong Laboratory of Machine Perception and Intelligent Computing, Faculty of Engineering, Shenzhen MSU-BIT University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2011.2162423"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-40760-4_2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00383"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2940533"},{"volume-title":"Adobe Super Resolution: Boosting Image Quality With AI","year":"2024","author":"Clark","key":"ref5"},{"volume-title":"Remini\u2014AI Photo Enhancer","year":"2024","key":"ref6"},{"volume-title":"DeepAI\u2014AI Image Generator, Enhancer, and More","year":"2024","key":"ref7"},{"key":"ref8","first-page":"12403","article-title":"Low-complexity deep convolutional neural networks on fully homomorphic encryption using multiplexed parallel convolutions","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Lee"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-32168-5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1536414.1536440"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01174"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00179"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00178"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70694-8_15"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2020.3027732"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475627"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i3.20179"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01131"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.02405"},{"article-title":"ResShift: Efficient diffusion model for image super-resolution by residual shifting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Yue","key":"ref20"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19946"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i2.20030"},{"key":"ref23","article-title":"Crypto-nets: Neural networks over encrypted data","author":"Xie","year":"2014","journal-title":"arXiv:1412.6181"},{"key":"ref24","first-page":"201","article-title":"CryptoNets: Applying neural networks to encrypted data with high throughput and accuracy","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Dowlin"},{"key":"ref25","article-title":"Privacy-preserving classification on deep neural network","author":"Chabanne","year":"2017","journal-title":"Cryptol. ePrint Arch."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378372"},{"key":"ref27","first-page":"15718","article-title":"Iron: Private inference on transformers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"35","author":"Hao"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/SP54263.2024.00130"},{"key":"ref29","first-page":"812","article-title":"Low latency privacy preserving inference","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Brutzkus"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3243734.3243837"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3159694"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3658644.3690375"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2024.3448406"},{"key":"ref34","first-page":"809","article-title":"Cheetah: Lean and fast secure two-party deep neural network inference","volume-title":"Proc. USENIX Secur. Symp.","author":"Huang"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS60910.2024.00124"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2025.230868"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/2633600"},{"key":"ref38","article-title":"Somewhat practical fully homomorphic encryption","author":"Fan","year":"2012","journal-title":"Cryptol. ePrint Arch."},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-13190-5_1"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-78381-9_14"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TDSC.2019.2923653"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1981.1163711"},{"key":"ref43","article-title":"CryptoDL: Deep neural networks over encrypted data","author":"Hesamifard","year":"2017","journal-title":"arXiv:1711.05189"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-77287-1_2"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1515\/jmc-2015-0016"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299003"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.5244\/C.26.135"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27413-8_47"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16817-3_8"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299156"},{"volume-title":"HEAAN","year":"2020","key":"ref51"},{"key":"ref52","article-title":"Faster CryptoNets: Leveraging sparsity for real-world encrypted inference","author":"Chou","year":"2018","journal-title":"arXiv:1811.09953"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2016.2585085"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2018.00357"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.486"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00488"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10795784\/11303322.pdf?arnumber=11303322","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T18:39:43Z","timestamp":1767119983000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11303322\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":56,"URL":"https:\/\/doi.org\/10.1109\/tip.2025.3641310","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"type":"print","value":"1057-7149"},{"type":"electronic","value":"1941-0042"}],"subject":[],"published":{"date-parts":[[2025]]}}}