{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T08:41:02Z","timestamp":1778575262051,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":43,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,12,6]],"date-time":"2023-12-06T00:00:00Z","timestamp":1701820800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["CNS-2231519"],"award-info":[{"award-number":["CNS-2231519"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["CNS-2113805"],"award-info":[{"award-number":["CNS-2113805"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["CNS-1852134"],"award-info":[{"award-number":["CNS-1852134"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["OAC-2017564"],"award-info":[{"award-number":["OAC-2017564"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["ECCS-2010332"],"award-info":[{"award-number":["ECCS-2010332"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["CNS-2037982"],"award-info":[{"award-number":["CNS-2037982"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["DUE-2225229"],"award-info":[{"award-number":["DUE-2225229"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["CNS-1828105"],"award-info":[{"award-number":["CNS-1828105"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,12,6]]},"DOI":"10.1145\/3583740.3628436","type":"proceedings-article","created":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T18:35:50Z","timestamp":1723055750000},"page":"145-157","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["User-Defined Privacy Preserving Data Sharing for Connected Autonomous Vehicles Utilizing Edge Computing"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-0954-0667","authenticated-orcid":false,"given":"Tianyu","family":"Bai","sequence":"first","affiliation":[{"name":"University of North Texas, Denton, Texas, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3495-370X","authenticated-orcid":false,"given":"Qing","family":"Yang","sequence":"additional","affiliation":[{"name":"University of North Texas, Denton, Texas, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7705-0829","authenticated-orcid":false,"given":"Song","family":"Fu","sequence":"additional","affiliation":[{"name":"University of North Texas, Denton, Texas, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,8,7]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Yoshinori Aono Takuya Hayashi Lihua Wang Shiho Moriai et al. 2017. Privacy-preserving deep learning via additively homomorphic encryption. IEEE transactions on information forensics and security 13 5 (2017) 1333--1345.","DOI":"10.1109\/TIFS.2017.2787987"},{"key":"e_1_3_2_1_2_1","volume-title":"ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3267--3271","author":"Armanious Karim","year":"2019","unstructured":"Karim Armanious, Youssef Mecky, Sergios Gatidis, and Bin Yang. 2019. Adversarial inpainting of medical image modalities. In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3267--3271."},{"key":"e_1_3_2_1_3_1","volume-title":"Segnet: A deep convolutional encoder-decoder architecture for image segmentation","author":"Badrinarayanan Vijay","year":"2017","unstructured":"Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla. 2017. Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE transactions on pattern analysis and machine intelligence 39, 12 (2017), 2481--2495."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/fi14110316"},{"key":"e_1_3_2_1_5_1","volume-title":"2023 32nd International Conference on Computer Communications and Networks (ICCCN). IEEE, 1--10","author":"Bai Tianyu","year":"2023","unstructured":"Tianyu Bai, Danyang Shao, Ying He, Song Fu, and Qing Yang. 2023. P3: A Privacy-Preserving Perception Framework for Building Vehicle-Edge Perception Networks Protecting Data Privacy. In 2023 32nd International Conference on Computer Communications and Networks (ICCCN). IEEE, 1--10."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/344779.344972"},{"key":"e_1_3_2_1_7_1","volume-title":"2021 58th ACM\/IEEE Design Automation Conference (DAC). IEEE, 1347--1350","author":"Bian Song","year":"2021","unstructured":"Song Bian, Weiwen Jiang, and Takashi Sato. 2021. Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment. In 2021 58th ACM\/IEEE Design Automation Conference (DAC). IEEE, 1347--1350."},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings, Part II 23","author":"Bian Song","year":"2020","unstructured":"Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, and Takashi Sato. 2020. BUNET: blind medical image segmentation based on secure UNET. In Medical Image Computing and Computer Assisted Intervention-MICCAI 2020: 23rd International Conference, Lima, Peru, October 4--8, 2020, Proceedings, Part II 23. Springer, 612--622."},{"key":"e_1_3_2_1_9_1","volume-title":"Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs","author":"Chen Liang-Chieh","year":"2017","unstructured":"Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, and Alan L Yuille. 2017. Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs. IEEE transactions on pattern analysis and machine intelligence 40, 4 (2017), 834--848."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1979.11327"},{"key":"e_1_3_2_1_11_1","volume-title":"Navier-stokes equations","author":"Constantin Peter","unstructured":"Peter Constantin and Ciprian Foias. 2020. Navier-stokes equations. University of Chicago Press."},{"key":"e_1_3_2_1_12_1","volume-title":"Theory of Cryptography Conference. Springer, 285--304","author":"Damg\u00e5rd Ivan","year":"2006","unstructured":"Ivan Damg\u00e5rd, Matthias Fitzi, Eike Kiltz, Jesper Buus Nielsen, and Tomas Toft. 2006. Unconditionally secure constant-rounds multi-party computation for equality, comparison, bits and exponentiation. In Theory of Cryptography Conference. Springer, 285--304."},{"key":"e_1_3_2_1_13_1","volume-title":"Patch-based image inpainting with generative adversarial networks. arXiv preprint arXiv:1803.07422","author":"Demir Ugur","year":"2018","unstructured":"Ugur Demir and Gozde Unal. 2018. Patch-based image inpainting with generative adversarial networks. arXiv preprint arXiv:1803.07422 (2018)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.3390\/fi13040094"},{"key":"e_1_3_2_1_15_1","volume-title":"2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops. IEEE, 53--58","author":"Flores Arturo","year":"2010","unstructured":"Arturo Flores and Serge Belongie. 2010. Removing pedestrians from google street view images. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops. IEEE, 53--58."},{"key":"e_1_3_2_1_16_1","volume-title":"Jean-Philippe Bossuat, and Jean-Pierre Hubaux.","author":"Froelicher David","year":"2020","unstructured":"David Froelicher, Juan R Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, and Jean-Pierre Hubaux. 2020. Scalable privacy-preserving distributed learning. arXiv preprint arXiv:2005.09532 (2020)."},{"key":"e_1_3_2_1_17_1","volume-title":"International conference on machine learning. PMLR, 201--210","author":"Gilad-Bachrach Ran","year":"2016","unstructured":"Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Kristin Lauter, Michael Naehrig, and John Wernsing. 2016. Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy. In International conference on machine learning. PMLR, 201--210."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3022358"},{"key":"e_1_3_2_1_20_1","volume-title":"International conference on machine learning. pmlr, 448--456","author":"Ioffe Sergey","year":"2015","unstructured":"Sergey Ioffe and Christian Szegedy. 2015. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In International conference on machine learning. pmlr, 448--456."},{"key":"e_1_3_2_1_21_1","volume-title":"Proceedings of the IEEE\/CVF international conference on computer vision. 4413--4421","author":"Lee Sungho","year":"2019","unstructured":"Sungho Lee, Seoung Wug Oh, DaeYeun Won, and Seon Joo Kim. 2019. Copy-and-paste networks for deep video inpainting. In Proceedings of the IEEE\/CVF international conference on computer vision. 4413--4421."},{"key":"e_1_3_2_1_22_1","unstructured":"Tsung-Yi Lin Michael Maire et al. 2014. Microsoft COCO: Common objects in context. In ECCV."},{"key":"e_1_3_2_1_23_1","volume-title":"Encyclopedia of Data Warehousing and Mining. IGI global, 1005--1009.","author":"Lindell Yehida","unstructured":"Yehida Lindell. 2005. Secure multiparty computation for privacy preserving data mining. In Encyclopedia of Data Warehousing and Mining. IGI global, 1005--1009."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"e_1_3_2_1_25_1","volume-title":"Partial convolution based padding. arXiv preprint arXiv:1811.11718","author":"Liu Guilin","year":"2018","unstructured":"Guilin Liu, Kevin J Shih, Ting-Chun Wang, Fitsum A Reda, Karan Sapra, Zhiding Yu, Andrew Tao, and Bryan Catanzaro. 2018. Partial convolution based padding. arXiv preprint arXiv:1811.11718 (2018)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2915983"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132990"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3243734.3243760"},{"key":"e_1_3_2_1_29_1","volume-title":"Secureml: A system for scalable privacy-preserving machine learning","author":"Mohassel Payman","year":"2017","unstructured":"Payman Mohassel and Yupeng Zhang. 2017. Secureml: A system for scalable privacy-preserving machine learning. In IEEE SP."},{"key":"e_1_3_2_1_30_1","volume-title":"Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)","author":"Nodari Angelo","year":"2012","unstructured":"Angelo Nodari, Marco Vanetti, and Ignazio Gallo. 2012. Digital privacy: Replacing pedestrians from google street view images. In Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012). IEEE, 2889--2893."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2967734"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.278"},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of USENIX Security Symposium (USENIX Security).","author":"Poddar Rishabh","year":"2020","unstructured":"Rishabh Poddar, Ganesh Ananthanarayanan, Srinath Setty, Stavros Volos, and Raluca Ada Popa. 2020. Visor: Privacy-Preserving Video Analytics as a Cloud Service. In Proceedings of USENIX Security Symposium (USENIX Security)."},{"key":"e_1_3_2_1_34_1","volume-title":"Secure multi-party computation","author":"Prabhakaran Manoj M","unstructured":"Manoj M Prabhakaran and Amit Sahai. 2013. Secure multi-party computation. Vol. 10. IOS press."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/359340.359342"},{"key":"e_1_3_2_1_36_1","volume-title":"U-net: Convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015: 18th International Conference","author":"Ronneberger Olaf","year":"2015","unstructured":"Olaf Ronneberger, Philipp Fischer, and Thomas Brox. 2015. U-net: Convolutional networks for biomedical image segmentation. In Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015: 18th International Conference, Munich, Germany, October 5--9, 2015, Proceedings, Part III 18. Springer, 234--241."},{"key":"e_1_3_2_1_37_1","volume-title":"Proceedings of the 22nd ACM SIGSAC conference on computer and communications security. 1310--1321","author":"Shokri Reza","year":"2015","unstructured":"Reza Shokri and Vitaly Shmatikov. 2015. Privacy-preserving deep learning. In Proceedings of the 22nd ACM SIGSAC conference on computer and communications security. 1310--1321."},{"key":"e_1_3_2_1_38_1","volume-title":"2020 IEEE\/ACM Symposium on Edge Computing (SEC). IEEE, 382--387","author":"Taghavi Samira","year":"2020","unstructured":"Samira Taghavi and Weisong Shi. 2020. EdgeMask: An edge-based privacy preserving service for video data sharing. In 2020 IEEE\/ACM Symposium on Edge Computing (SEC). IEEE, 382--387."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1080\/10867651.2004.10487596"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Guotai Wang Maria A Zuluaga Wenqi Li Rosalind Pratt Premal A Patel Michael Aertsen Tom Doel Anna L David Jan Deprest S\u00e9bastien Ourselin et al. 2018. DeepIGeoS: a deep interactive geodesic framework for medical image segmentation. IEEE transactions on pattern analysis and machine intelligence 41 7 (2018) 1559--1572.","DOI":"10.1109\/TPAMI.2018.2840695"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_20"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00577"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00457"}],"event":{"name":"SEC '23: Eighth ACM\/IEEE Symposium on Edge Computing","location":"Wilmington DE USA","acronym":"SEC '23","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","IEEE Computer Society"]},"container-title":["Proceedings of the Eighth ACM\/IEEE Symposium on Edge Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583740.3628436","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583740.3628436","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:46:29Z","timestamp":1750178789000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583740.3628436"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,6]]},"references-count":43,"alternative-id":["10.1145\/3583740.3628436","10.1145\/3583740"],"URL":"https:\/\/doi.org\/10.1145\/3583740.3628436","relation":{},"subject":[],"published":{"date-parts":[[2023,12,6]]},"assertion":[{"value":"2024-08-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}