{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,25]],"date-time":"2025-12-25T07:20:53Z","timestamp":1766647253082,"version":"3.28.0"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T00:00:00Z","timestamp":1684800000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,23]],"date-time":"2023-05-23T00:00:00Z","timestamp":1684800000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,23]]},"DOI":"10.1109\/sera57763.2023.10197680","type":"proceedings-article","created":{"date-parts":[[2023,8,3]],"date-time":"2023-08-03T17:29:18Z","timestamp":1691083758000},"page":"335-340","source":"Crossref","is-referenced-by-count":3,"title":["Performance of GAN-Based Denoising and Restoration Techniques for Adversarial Face Images"],"prefix":"10.1109","author":[{"given":"Turhan","family":"Kimbrough","sequence":"first","affiliation":[{"name":"Towson University,Dept. of Computer and Information Sciences,USA"}]},{"given":"Pu","family":"Tian","sequence":"additional","affiliation":[{"name":"Towson University,Dept. of Computer and Information Sciences,USA"}]},{"given":"Weixian","family":"Liao","sequence":"additional","affiliation":[{"name":"Towson University,Dept. of Computer and Information Sciences,USA"}]},{"given":"Wei","family":"Yu","sequence":"additional","affiliation":[{"name":"Towson University,Dept. of Computer and Information Sciences,USA"}]}],"member":"263","reference":[{"key":"ref13","first-page":"634","article-title":"Analyzing federated learning through an adversarial lens","author":"bhagoji","year":"2019","journal-title":"International Conference on Machine Learning"},{"year":"0","key":"ref35","article-title":"Face Recognition Datasets"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.3002796"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995566"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1201\/9780367808150-11"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/DASC-PICom-CBDCom-CyberSciTech52372.2021.00058"},{"key":"ref36","article-title":"Image processing in python","volume":"23","author":"umesh","year":"2012","journal-title":"CSI Communications"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IJCB54206.2022.10007961"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.41"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.hcc.2021.100002"},{"key":"ref33","article-title":"Learning to align from scratch","author":"huang","year":"2012","journal-title":"NIPS"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3163894"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00482"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2830661"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TBIOM.2021.3120412"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2009.62"},{"key":"ref16","first-page":"1589","article-title":"Fawkes: Protecting privacy against unauthorized deep learning models","author":"shan","year":"2020","journal-title":"29th USENIX Security Symposium ( USENIX Security 20)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2007.14"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2008.135"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00905"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025068"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3062482"},{"key":"ref20","article-title":"Lowkey: leveraging adversarial attacks to protect social media users from facial recognition","author":"cherepanova","year":"2021","journal-title":"International Conference on Learning Representations"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/DSN-W50199.2020.00016"},{"key":"ref21","article-title":"Generative adversarial networks: A survey toward private and secure applications","volume":"54","author":"cai","year":"2021","journal-title":"ACM Comput Surv"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICEET53442.2021.9659697"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ASYU50717.2020.9259802"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298682"},{"article-title":"Explaining and harnessing adversarial examples","year":"0","author":"goodfellow","key":"ref8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/NAS55553.2022.9925338"},{"key":"ref9","article-title":"Adversarial machine learning in image classification: A survey toward the defender’s perspective","volume":"55","author":"machado","year":"2021","journal-title":"ACM Comput Surv"},{"key":"ref4","article-title":"Fawkes: Protecting privacy against unauthorized deep learning models","author":"shan","year":"2020","journal-title":"Proceedings of the 29th USENIX Conference on Security Symposium"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2948912"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683044"},{"key":"ref5","article-title":"Lowkey: Leveraging adversarial attacks to protect social media users from facial recognition","volume":"abs 2101 7922","author":"cherepanova","year":"2021","journal-title":"CoRR"}],"event":{"name":"2023 IEEE\/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)","start":{"date-parts":[[2023,5,23]]},"location":"Orlando, FL, USA","end":{"date-parts":[[2023,5,25]]}},"container-title":["2023 IEEE\/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10197651\/10197644\/10197680.pdf?arnumber=10197680","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:45:45Z","timestamp":1692639945000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10197680\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,23]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/sera57763.2023.10197680","relation":{},"subject":[],"published":{"date-parts":[[2023,5,23]]}}}