{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T09:49:07Z","timestamp":1743846547578},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"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":[[2020,10]]},"DOI":"10.1109\/icip40778.2020.9190678","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T20:45:18Z","timestamp":1601498718000},"page":"2236-2240","source":"Crossref","is-referenced-by-count":8,"title":["Security of Facial Forensics Models Against Adversarial Attacks"],"prefix":"10.1109","author":[{"given":"Rong","family":"Huang","sequence":"first","affiliation":[]},{"given":"Fuming","family":"Fang","sequence":"additional","affiliation":[]},{"given":"Huy H.","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Junichi","family":"Yamagishi","sequence":"additional","affiliation":[]},{"given":"Isao","family":"Echizen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS.2018.8630761"},{"key":"ref11","article-title":"ForensicTransfer: Weakly-Supervised Domain Adaptation for Forgery Detection","author":"cozzolino","year":"2018","journal-title":"arXiv preprint 1812 02510vl"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS46853.2019.9185974"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2807385"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2018.2886017"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978392"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.153"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.300"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1215"},{"key":"ref19","first-page":"62","article-title":"Adversarial Examples for Malware Detection","author":"grosse","year":"2017","journal-title":"Proc Euro Symp Res Computer Security"},{"key":"ref4","first-page":"1","article-title":"In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking","author":"li","year":"2018","journal-title":"Proc IEEE Int Workshop Inform Forensics Secur (WIFS)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2861800"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2018.8553270"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2015.2400395"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683164"},{"key":"ref8","first-page":"46","article-title":"Exposing DeepFake Videos by Detecting Face Warping Artifacts","author":"li","year":"2019","journal-title":"Proc 2019 IEEE Conf Comput Vis Pattern Recogn Workshop (CVPRW)"},{"key":"ref7","article-title":"Detection of Deep Network Generated Images Using Disparities in Color Components","author":"li","year":"2019","journal-title":"arXiv preprint 1808 07276v2"},{"year":"0","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3206004.3206009"},{"year":"0","key":"ref1"},{"journal-title":"Objective Perceptual Video Quality Measurement Techniques for Broadcasting Applications Using Low Definition Television in the Presence of a Full Reference Signal","year":"2010","key":"ref20"},{"key":"ref22","article-title":"Intriguing Properties of Neural Networks","author":"szegedy","year":"2014","journal-title":"preprint arXiv 1312"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00009"},{"key":"ref24","article-title":"Adversarial Examples in the Physical World","author":"kurakin","year":"2017","journal-title":"arXivpreprint 1607 02533v4"},{"key":"ref23","article-title":"Explaining and Harnessing Adversarial Examples","author":"goodfellow","year":"2015","journal-title":"arXivpreprint 1412 6572v3"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.17"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.282"}],"event":{"name":"2020 IEEE International Conference on Image Processing (ICIP)","start":{"date-parts":[[2020,10,25]]},"location":"Abu Dhabi, United Arab Emirates","end":{"date-parts":[[2020,10,28]]}},"container-title":["2020 IEEE International Conference on Image Processing (ICIP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9184803\/9190635\/09190678.pdf?arnumber=9190678","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:17:36Z","timestamp":1656375456000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9190678\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icip40778.2020.9190678","relation":{},"subject":[],"published":{"date-parts":[[2020,10]]}}}