{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T19:33:03Z","timestamp":1776886383407,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Singapore National Cybersecurity R&D Program","award":["NRF2018NCR-NCR005-0001"],"award-info":[{"award-number":["NRF2018NCR-NCR005-0001"]}]},{"name":"JSPS KAKENHI","award":["JP20H04168, JP21H04877"],"award-info":[{"award-number":["JP20H04168, JP21H04877"]}]},{"DOI":"10.13039\/501100020959","name":"JST-Mirai Program","doi-asserted-by":"publisher","award":["JPMJMI20B8"],"award-info":[{"award-number":["JPMJMI20B8"]}],"id":[{"id":"10.13039\/501100020959","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Canada CIFAR AI Chairs Program, Amii RAP program, the Natural Sciences and Engineering Research Council of Canada","award":["RGPAS-2021-00034, DGECR-2021-00019"],"award-info":[{"award-number":["RGPAS-2021-00034, DGECR-2021-00019"]}]},{"name":"National Research Foundation, Singapore under its AI Singapore Programme","award":["AISG2- RP-2020-019"],"award-info":[{"award-number":["AISG2- RP-2020-019"]}]},{"DOI":"10.13039\/501100022210","name":"National Satellite of Excellence in Trustworthy Software Systems, National University of Singapore","doi-asserted-by":"publisher","award":["NRF2018NCR-NSOE003-0001"],"award-info":[{"award-number":["NRF2018NCR-NSOE003-0001"]}],"id":[{"id":"10.13039\/501100022210","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NRF Investigatorship","award":["NRF-NRFI06-2020-0001"],"award-info":[{"award-number":["NRF-NRFI06-2020-0001"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,10]]},"DOI":"10.1145\/3503161.3547757","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:43:01Z","timestamp":1665416581000},"page":"5303-5313","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":33,"title":["A\n            <sup>3<\/sup>\n            GAN: Attribute-Aware Anonymization Networks for Face De-identification"],"prefix":"10.1145","author":[{"given":"Liming","family":"Zhai","sequence":"first","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qing","family":"Guo","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaofei","family":"Xie","sequence":"additional","affiliation":[{"name":"Singapore Management University, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Ma","sequence":"additional","affiliation":[{"name":"University of Alberta &amp; Kyushu University, Edmonton, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi Estelle","family":"Wang","sequence":"additional","affiliation":[{"name":"Continental Automotive Singapore Pte. Ltd., Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Liu","sequence":"additional","affiliation":[{"name":"Zhejiang Sci-Tech University &amp; Nanyang Technological University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00150"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/3304415.3304509"},{"key":"e_1_3_2_2_3_1","volume-title":"Proceedings, Part XV 16","author":"Chu Wenqing","year":"2020","unstructured":"Wenqing Chu , Ying Tai , Chengjie Wang , Jilin Li , Feiyue Huang , and Rongrong Ji . 2020 . SSCGAN: Facial attribute editing via style skip connections. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020 , Proceedings, Part XV 16 . 414--429. Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, and Rongrong Ji. 2020. SSCGAN: Facial attribute editing via style skip connections. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XV 16. 414--429."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412340"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-019-10163-0"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00947"},{"key":"e_1_3_2_2_8_1","unstructured":"Ishaan Gulrajani Faruk Ahmed Martin Arjovsky Vincent Dumoulin and Aaron Courville. 2017. Improved training of Wasserstein GANs. arXiv:arXiv preprint arXiv:1704.00028  Ishaan Gulrajani Faruk Ahmed Martin Arjovsky Vincent Dumoulin and Aaron Courville. 2017. Improved training of Wasserstein GANs. arXiv:arXiv preprint arXiv:1704.00028"},{"key":"e_1_3_2_2_9_1","volume-title":"AttGAN: Facial attribute editing by only changing what you want","author":"He Zhenliang","year":"2019","unstructured":"Zhenliang He , Wangmeng Zuo , Meina Kan , Shiguang Shan , and Xilin Chen . 2019. AttGAN: Facial attribute editing by only changing what you want . IEEE transactions on image processing 28, 11 ( 2019 ), 5464--5478. Zhenliang He, Wangmeng Zuo, Meina Kan, Shiguang Shan, and Xilin Chen. 2019. AttGAN: Facial attribute editing by only changing what you want. IEEE transactions on image processing 28, 11 (2019), 5464--5478."},{"key":"e_1_3_2_2_10_1","volume-title":"Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30","author":"Heusel Martin","year":"2017","unstructured":"Martin Heusel , Hubert Ramsauer , Thomas Unterthiner , Bernhard Nessler , and Sepp Hochreiter . 2017. Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30 ( 2017 ). Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017. Gans trained by a two time-scale update rule converge to a local nash equilibrium. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00594"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33720-9_44"},{"key":"e_1_3_2_2_13_1","volume-title":"International conference on machine learning. 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. 448--456 . Sergey Ioffe and Christian Szegedy. 2015. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In International conference on machine learning. 448--456."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICB.2015.7139096"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"e_1_3_2_2_16_1","volume-title":"Adam: A Method for Stochastic Optimization. In ICLR.","author":"Kingma Diederik P","year":"2015","unstructured":"Diederik P Kingma and Jimmy Ba . 2015 . Adam: A Method for Stochastic Optimization. In ICLR. Diederik P Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In ICLR."},{"key":"e_1_3_2_2_17_1","volume-title":"Proceedings, Part XIV 16","author":"Han David K","year":"2020","unstructured":"Jeong-gi Kwak, David K Han , and Hanseok Ko . 2020 . CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020 , Proceedings, Part XIV 16 . Springer, 524--540. Jeong-gi Kwak, David K Han, and Hanseok Ko. 2020. CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XIV 16. Springer, 524--540."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00520"},{"key":"e_1_3_2_2_19_1","volume-title":"SF-GAN: Face De-identification Method without Losing Facial Attribute Information","author":"Li Yongxiang","year":"2021","unstructured":"Yongxiang Li , Qianwen Lu , Qingchuan Tao , Xingbo Zhao , and Yanmei Yu. 2021. SF-GAN: Face De-identification Method without Losing Facial Attribute Information . IEEE Signal Processing Letters ( 2021 ). Yongxiang Li, Qianwen Lu, Qingchuan Tao, Xingbo Zhao, and Yanmei Yu. 2021. SF-GAN: Face De-identification Method without Losing Facial Attribute Information. IEEE Signal Processing Letters (2021)."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00379"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00549"},{"key":"e_1_3_2_2_23_1","volume-title":"Privacy--Enhancing Face Biometrics: A Comprehensive Survey","author":"Meden Blaz","year":"2021","unstructured":"Blaz Meden , Peter Rot , Philipp Terh\u00f6rst , Naser Damer , Arjan Kuijper , Walter J Scheirer , Arun Ross , Peter Peer , and Vitomir ?truc. 2021. Privacy--Enhancing Face Biometrics: A Comprehensive Survey . IEEE Transactions on Information Forensics and Security ( 2021 ). Blaz Meden, Peter Rot, Philipp Terh\u00f6rst, Naser Damer, Arjan Kuijper, Walter J Scheirer, Arun Ross, Peter Peer, and Vitomir ?truc. 2021. Privacy--Enhancing Face Biometrics: A Comprehensive Survey. IEEE Transactions on Information Forensics and Security (2021)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3024026"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2214050"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.522"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143518.1143519"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.32"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.01.041"},{"key":"e_1_3_2_2_30_1","unstructured":"Adam Paszke Sam Gross Soumith Chintala Gregory Chanan Edward Yang Zachary DeVito Zeming Lin Alban Desmaison Luca Antiga and Adam Lerer. 2017. Automatic differentiation in pytorch. (2017).  Adam Paszke Sam Gross Soumith Chintala Gregory Chanan Edward Yang Zachary DeVito Zeming Lin Alban Desmaison Luca Antiga and Adam Lerer. 2017. Automatic differentiation in pytorch. (2017)."},{"key":"e_1_3_2_2_31_1","volume-title":"Bogdan Raducanu, and Jose M \u00c1lvarez.","author":"Perarnau Guim","year":"2016","unstructured":"Guim Perarnau , Joost Van De Weijer , Bogdan Raducanu, and Jose M \u00c1lvarez. 2016 . Invertible conditional GANs for image editing. arXiv:arXiv preprint arXiv:1611.06355 Guim Perarnau, Joost Van De Weijer, Bogdan Raducanu, and Jose M \u00c1lvarez. 2016. Invertible conditional GANs for image editing. arXiv:arXiv preprint arXiv:1611.06355"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2016.05.020"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"key":"e_1_3_2_2_35_1","unstructured":"SecureTrust. 2021. Data Privacy. https:\/\/www.securetrust.com\/data-privacy\/. Accessed: 2021-08--31.  SecureTrust. 2021. Data Privacy. https:\/\/www.securetrust.com\/data-privacy\/. Accessed: 2021-08--31."},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00926"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00530"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01246-5_34"},{"key":"e_1_3_2_2_39_1","unstructured":"Dmitry Ulyanov Andrea Vedaldi and Victor Lempitsky. 2016. Instance normalization: The missing ingredient for fast stylization. arXiv:arXiv preprint arXiv:1607.08022  Dmitry Ulyanov Andrea Vedaldi and Victor Lempitsky. 2016. Instance normalization: The missing ingredient for fast stylization. arXiv:arXiv preprint arXiv:1607.08022"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00693"},{"key":"e_1_3_2_2_41_1","volume-title":"Asian Conference on Computer Vision. 117--133","author":"Weng Ching-Hua","year":"2016","unstructured":"Ching-Hua Weng , Ying-Hsiu Lai , and Shang-Hong Lai . 2016 . Driver drowsiness detection via a hierarchical temporal deep belief network . In Asian Conference on Computer Vision. 117--133 . Ching-Hua Weng, Ying-Hsiu Lai, and Shang-Hong Lai. 2016. Driver drowsiness detection via a hierarchical temporal deep belief network. In Asian Conference on Computer Vision. 117--133."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00297"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.596"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00457"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01231-1_26"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-017-1055-1"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01308-z"}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","location":"Lisboa Portugal","acronym":"MM '22","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547757","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3547757","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3547757","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:40Z","timestamp":1750188640000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3547757"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":47,"alternative-id":["10.1145\/3503161.3547757","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3547757","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}