{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T02:18:19Z","timestamp":1777342699589,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":62,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T00:00:00Z","timestamp":1618790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,4,19]]},"DOI":"10.1145\/3442381.3449978","type":"proceedings-article","created":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T19:37:45Z","timestamp":1622749065000},"page":"981-992","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":40,"title":["Deepfake Videos in the Wild: Analysis and Detection"],"prefix":"10.1145","author":[{"given":"Jiameng","family":"Pu","sequence":"first","affiliation":[{"name":"Virginia Tech, USA"}]},{"given":"Neal","family":"Mangaokar","sequence":"additional","affiliation":[{"name":"University of Michigan, USA"}]},{"given":"Lauren","family":"Kelly","sequence":"additional","affiliation":[{"name":"Virginia Tech, USA"}]},{"given":"Parantapa","family":"Bhattacharya","sequence":"additional","affiliation":[{"name":"University of Virginia, USA"}]},{"given":"Kavya","family":"Sundaram","sequence":"additional","affiliation":[{"name":"Virginia Tech, USA"}]},{"given":"Mobin","family":"Javed","sequence":"additional","affiliation":[{"name":"LUMS Pakistan, Pakistan"}]},{"given":"Bolun","family":"Wang","sequence":"additional","affiliation":[{"name":"Facebook, USA"}]},{"given":"Bimal","family":"Viswanath","sequence":"additional","affiliation":[{"name":"Virginia Tech, USA"}]}],"member":"320","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"2010. Bilibili A Chinese Video Sharing Website. https:\/\/www.bilibili.com\/.  2010. Bilibili A Chinese Video Sharing Website. https:\/\/www.bilibili.com\/."},{"key":"e_1_3_2_1_2_1","unstructured":"2017. AI-Assisted Fake Porn Is Here and We\u2019re All Fucked. https:\/\/www.vice.com\/en_us\/article\/gydydm\/gal-gadot-fake-ai-porn.  2017. AI-Assisted Fake Porn Is Here and We\u2019re All Fucked. https:\/\/www.vice.com\/en_us\/article\/gydydm\/gal-gadot-fake-ai-porn."},{"key":"e_1_3_2_1_3_1","unstructured":"2017. Audio-Visual Recordings of People Reciting Phonetically Balanced Sentences From the TIMIT Corpus. http:\/\/conradsanderson.id.au\/vidtimit\/.  2017. Audio-Visual Recordings of People Reciting Phonetically Balanced Sentences From the TIMIT Corpus. http:\/\/conradsanderson.id.au\/vidtimit\/."},{"key":"e_1_3_2_1_4_1","unstructured":"2018. Deep Fakes Online - 70% off!https:\/\/www.deepfake.me\/.  2018. Deep Fakes Online - 70% off!https:\/\/www.deepfake.me\/."},{"key":"e_1_3_2_1_5_1","unstructured":"2018. Dfaker. https:\/\/github.com\/dfaker\/df.  2018. Dfaker. https:\/\/github.com\/dfaker\/df."},{"key":"e_1_3_2_1_6_1","unstructured":"2018. FaceSwap-GAN: A Denoising Autoencoder + Adversarial Losses and Attention Mechanisms for Face Swapping.https:\/\/github.com\/shaoanlu\/faceswap-GAN.  2018. FaceSwap-GAN: A Denoising Autoencoder + Adversarial Losses and Attention Mechanisms for Face Swapping.https:\/\/github.com\/shaoanlu\/faceswap-GAN."},{"key":"e_1_3_2_1_7_1","unstructured":"2018. FakeApp 2.2+ Forum. https:\/\/www.reddit.com\/r\/GifFakes\/comments\/7y7c47\/fakeapp_22_forum\/dukd1y8\/.  2018. FakeApp 2.2+ Forum. https:\/\/www.reddit.com\/r\/GifFakes\/comments\/7y7c47\/fakeapp_22_forum\/dukd1y8\/."},{"key":"e_1_3_2_1_8_1","unstructured":"2018. MyFakeApp \u2013 FakeApp Alternative. https:\/\/radek350.wordpress.com\/2018\/02\/17\/myfakeapp-fakeapp-alternative\/.  2018. MyFakeApp \u2013 FakeApp Alternative. https:\/\/radek350.wordpress.com\/2018\/02\/17\/myfakeapp-fakeapp-alternative\/."},{"key":"e_1_3_2_1_9_1","unstructured":"2018. The Best Online Application for Changing Faces in Video - Website deepfakesapp.online. https:\/\/deepfakesapp.online\/.  2018. The Best Online Application for Changing Faces in Video - Website deepfakesapp.online. https:\/\/deepfakesapp.online\/."},{"key":"e_1_3_2_1_10_1","unstructured":"2019. China Bans AI-Altered Fake News Asks Platforms to Detect Distorted Videos. http:\/\/www.globaltimes.cn\/content\/1171889.shtml.  2019. China Bans AI-Altered Fake News Asks Platforms to Detect Distorted Videos. http:\/\/www.globaltimes.cn\/content\/1171889.shtml."},{"key":"e_1_3_2_1_11_1","unstructured":"2019. Chinese Deepfake App Zao Goes Viral Privacy Of Millions \u2019At Risk\u2019. https:\/\/www.forbes.com\/sites\/zakdoffman\/2019\/09\/02\/chinese-best-ever-deepfake-app-zao-sparks-huge-faceapp-like-privacy-storm\/#45b287fb8470.  2019. Chinese Deepfake App Zao Goes Viral Privacy Of Millions \u2019At Risk\u2019. https:\/\/www.forbes.com\/sites\/zakdoffman\/2019\/09\/02\/chinese-best-ever-deepfake-app-zao-sparks-huge-faceapp-like-privacy-storm\/#45b287fb8470."},{"key":"e_1_3_2_1_12_1","unstructured":"2019. Contributing Data to Deepfake Detection Research. https:\/\/ai.googleblog.com\/2019\/09\/contributing-data-to-deepfake-detection.html.  2019. Contributing Data to Deepfake Detection Research. https:\/\/ai.googleblog.com\/2019\/09\/contributing-data-to-deepfake-detection.html."},{"key":"e_1_3_2_1_13_1","unstructured":"2019. Deepfakes Web \u03b2: Create Your Own Deepfakes Online. https:\/\/deepfakesweb.com\/.  2019. Deepfakes Web \u03b2: Create Your Own Deepfakes Online. https:\/\/deepfakesweb.com\/."},{"key":"e_1_3_2_1_14_1","unstructured":"2019. First Federal Legislation on Deepfakes Signed Into Law. https:\/\/www.jdsupra.com\/legalnews\/first-federal-legislation-on-deepfakes-42346\/.  2019. First Federal Legislation on Deepfakes Signed Into Law. https:\/\/www.jdsupra.com\/legalnews\/first-federal-legislation-on-deepfakes-42346\/."},{"key":"e_1_3_2_1_15_1","unstructured":"2019. Reflect - AI Basedface Swap. https:\/\/reflect.tech\/.  2019. Reflect - AI Basedface Swap. https:\/\/reflect.tech\/."},{"key":"e_1_3_2_1_16_1","unstructured":"2020. Deepfake Detection Challenge. https:\/\/www.kaggle.com\/c\/deepfake-detection-challenge.  2020. Deepfake Detection Challenge. https:\/\/www.kaggle.com\/c\/deepfake-detection-challenge."},{"key":"e_1_3_2_1_17_1","unstructured":"2020. Face Swap AI-Tool. Make Your Favorite GIF Memes Personal With Just One Selfie.https:\/\/doublicat.com\/.  2020. Face Swap AI-Tool. Make Your Favorite GIF Memes Personal With Just One Selfie.https:\/\/doublicat.com\/."},{"key":"e_1_3_2_1_18_1","unstructured":"2020. Selim Seferbekov. https:\/\/github.com\/selimsef\/dfdc_deepfake_challenge.  2020. Selim Seferbekov. https:\/\/github.com\/selimsef\/dfdc_deepfake_challenge."},{"key":"e_1_3_2_1_19_1","unstructured":"2020. YouTube Toughens up Stance on Deepfake Videos. http:\/\/www.digitaljournal.com\/tech-and-science\/technology\/youtube-toughens-up-stance-on-deepfake-videos\/article\/566561.  2020. YouTube Toughens up Stance on Deepfake Videos. http:\/\/www.digitaljournal.com\/tech-and-science\/technology\/youtube-toughens-up-stance-on-deepfake-videos\/article\/566561."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/WIFS.2018.8630761"},{"key":"e_1_3_2_1_21_1","volume-title":"Proc. of ICCVW.","author":"Agarwal Shruti","year":"2019","unstructured":"Shruti Agarwal , Hany Farid , Yuming Gu , Mingming He , Koki Nagano , and Hao Li . 2019 . Protecting World Leaders Against Deep Fakes . In Proc. of ICCVW. Shruti Agarwal, Hany Farid, Yuming Gu, Mingming He, Koki Nagano, and Hao Li. 2019. Protecting World Leaders Against Deep Fakes. In Proc. of ICCVW."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00702"},{"key":"e_1_3_2_1_23_1","volume-title":"Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security. Calif. L. Rev.","author":"Chesney Bobby","year":"2019","unstructured":"Bobby Chesney and Danielle Citron . 2019 . Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security. Calif. L. Rev. (2019). Bobby Chesney and Danielle Citron. 2019. Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security. Calif. L. Rev. (2019)."},{"key":"e_1_3_2_1_24_1","volume-title":"Proc. of CVPRW.","author":"Giovanni Poggi Luisa\u00a0Verdoliva Davide Cozzolino","year":"2019","unstructured":"Davide Cozzolino Giovanni Poggi Luisa\u00a0Verdoliva . 2019 . Extracting Camera-Based Fingerprints for Video Forensics . In Proc. of CVPRW. Davide Cozzolino Giovanni Poggi Luisa\u00a0Verdoliva. 2019. Extracting Camera-Based Fingerprints for Video Forensics. In Proc. of CVPRW."},{"key":"e_1_3_2_1_25_1","volume-title":"The Deepfake Detection Challenge Dataset. CoRR abs\/2006.07397","author":"Dolhansky Brian","year":"2020","unstructured":"Brian Dolhansky , Joanna Bitton , Ben Pflaum , Jikuo Lu , Russ Howes , Menglin Wang , and Cristian\u00a0Canton Ferrer . 2020. The Deepfake Detection Challenge Dataset. CoRR abs\/2006.07397 ( 2020 ). Brian Dolhansky, Joanna Bitton, Ben Pflaum, Jikuo Lu, Russ Howes, Menglin Wang, and Cristian\u00a0Canton Ferrer. 2020. The Deepfake Detection Challenge Dataset. CoRR abs\/2006.07397 (2020)."},{"key":"e_1_3_2_1_26_1","volume-title":"Proc. of NeurIPS.","author":"Goodfellow Ian","year":"2014","unstructured":"Ian Goodfellow , Jean Pouget-Abadie , Mehdi Mirza , Bing Xu , David Warde-Farley , Sherjil Ozair , Aaron Courville , and Yoshua Bengio . 2014 . Generative Adversarial Nets . In Proc. of NeurIPS. Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. 2014. Generative Adversarial Nets. In Proc. of NeurIPS."},{"key":"e_1_3_2_1_27_1","volume":"201","author":"G\u00fcera David","unstructured":"David G\u00fcera and Edward\u00a0 J Delp. 201 8. Deepfake Video Detection Using Recurrent Neural Networks. In Proc. of AVSS. David G\u00fcera and Edward\u00a0J Delp. 2018. Deepfake Video Detection Using Recurrent Neural Networks. In Proc. of AVSS.","journal-title":"J Delp."},{"key":"e_1_3_2_1_28_1","volume-title":"Transforming Auto-Encoders. In Proc. of ICANN.","author":"Hinton E","year":"2011","unstructured":"Geoffrey\u00a0 E Hinton , Alex Krizhevsky , and Sida\u00a0 D Wang . 2011 . Transforming Auto-Encoders. In Proc. of ICANN. Geoffrey\u00a0E Hinton, Alex Krizhevsky, and Sida\u00a0D Wang. 2011. Transforming Auto-Encoders. In Proc. of ICANN."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00296"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV48630.2021.00159"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00453"},{"key":"e_1_3_2_1_32_1","volume-title":"Dlib-ml: A Machine Learning Toolkit. JMLR","author":"King E","year":"2009","unstructured":"Davis\u00a0 E King . 2009 . Dlib-ml: A Machine Learning Toolkit. JMLR (2009). Davis\u00a0E King. 2009. Dlib-ml: A Machine Learning Toolkit. JMLR (2009)."},{"key":"e_1_3_2_1_33_1","volume-title":"Kingma and Max Welling","author":"P.","year":"2014","unstructured":"Diederik\u00a0 P. Kingma and Max Welling . 2014 . Auto-Encoding Variational Bayes. In Proc. of ICLR. Diederik\u00a0P. Kingma and Max Welling. 2014. Auto-Encoding Variational Bayes. In Proc. of ICLR."},{"key":"e_1_3_2_1_34_1","volume-title":"DeepFakes: A New Threat to Face Recognition? Assessment and Detection. CoRR abs\/1812.08685","author":"Korshunov Pavel","year":"2018","unstructured":"Pavel Korshunov and Sebastien Marcel . 2018. DeepFakes: A New Threat to Face Recognition? Assessment and Detection. CoRR abs\/1812.08685 ( 2018 ). Pavel Korshunov and Sebastien Marcel. 2018. DeepFakes: A New Threat to Face Recognition? Assessment and Detection. CoRR abs\/1812.08685 (2018)."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.397"},{"key":"e_1_3_2_1_36_1","volume-title":"An introduction to domain adaptation and transfer learning. CoRR abs\/1812.11806","author":"Kouw M","year":"2018","unstructured":"Wouter\u00a0 M Kouw and Marco Loog . 2018. An introduction to domain adaptation and transfer learning. CoRR abs\/1812.11806 ( 2018 ). Wouter\u00a0M Kouw and Marco Loog. 2018. An introduction to domain adaptation and transfer learning. CoRR abs\/1812.11806 (2018)."},{"key":"e_1_3_2_1_37_1","volume-title":"Proc. of NeurIPS.","author":"Krizhevsky Alex","year":"2012","unstructured":"Alex Krizhevsky , Ilya Sutskever , and Geoffrey\u00a0 E Hinton . 2012 . Imagenet Classification With Deep Convolutional Neural Networks . In Proc. of NeurIPS. Alex Krizhevsky, Ilya Sutskever, and Geoffrey\u00a0E Hinton. 2012. Imagenet Classification With Deep Convolutional Neural Networks. In Proc. of NeurIPS."},{"key":"e_1_3_2_1_38_1","volume-title":"Proc. of CVPR.","author":"Li Lingzhi","year":"2019","unstructured":"Lingzhi Li , Jianmin Bao , Hao Yang , Dong Chen , and Fang Wen . 2019 . FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping . In Proc. of CVPR. Lingzhi Li, Jianmin Bao, Hao Yang, Dong Chen, and Fang Wen. 2019. FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping. In Proc. of CVPR."},{"key":"e_1_3_2_1_39_1","volume-title":"Proc. of CVPR.","author":"Li Lingzhi","year":"2019","unstructured":"Lingzhi Li , Jianmin Bao , Ting Zhang , Hao Yang , Dong Chen , Fang Wen , and Baining Guo . 2019 . Face X-ray for More General Face Forgery Detection . In Proc. of CVPR. Lingzhi Li, Jianmin Bao, Ting Zhang, Hao Yang, Dong Chen, Fang Wen, and Baining Guo. 2019. Face X-ray for More General Face Forgery Detection. In Proc. of CVPR."},{"key":"e_1_3_2_1_40_1","volume-title":"Proc. of WIFS.","author":"Li Yuezun","year":"2018","unstructured":"Yuezun Li , Ming-Ching Chang , and Siwei Lyu . 2018 . In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking . In Proc. of WIFS. Yuezun Li, Ming-Ching Chang, and Siwei Lyu. 2018. In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking. In Proc. of WIFS."},{"key":"e_1_3_2_1_41_1","volume-title":"Proc. of CVPRW.","author":"Li Yuezun","year":"2019","unstructured":"Yuezun Li and Siwei Lyu . 2019 . Exposing Deepfake Videos by Detecting Face Warping Artifacts . In Proc. of CVPRW. Yuezun Li and Siwei Lyu. 2019. Exposing Deepfake Videos by Detecting Face Warping Artifacts. In Proc. of CVPRW."},{"key":"e_1_3_2_1_42_1","volume-title":"Proc. of CVPR.","author":"Li Yuezun","year":"2019","unstructured":"Yuezun Li , Xin Yang , Pu Sun , Honggang Qi , and Siwei Lyu . 2019 . Celeb-DF: A New Dataset for Deepfake Forensics . In Proc. of CVPR. Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, and Siwei Lyu. 2019. Celeb-DF: A New Dataset for Deepfake Forensics. In Proc. of CVPR."},{"key":"e_1_3_2_1_43_1","volume-title":"Proc. of NeurIPS.","author":"Liu Ming-Yu","year":"2017","unstructured":"Ming-Yu Liu , Thomas Breuel , and Jan Kautz . 2017 . Unsupervised Image-To-Image Translation Networks . In Proc. of NeurIPS. Ming-Yu Liu, Thomas Breuel, and Jan Kautz. 2017. Unsupervised Image-To-Image Translation Networks. In Proc. of NeurIPS."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIF.2006.301574"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACVW.2019.00020"},{"key":"e_1_3_2_1_46_1","volume-title":"Proc. of ACCV.","author":"Natsume Ryota","year":"2018","unstructured":"Ryota Natsume , Tatsuya Yatagawa , and Shigeo Morishima . 2018 . FSNET: An Identity-Aware Generative Model for Image-Based Face Swapping . In Proc. of ACCV. Ryota Natsume, Tatsuya Yatagawa, and Shigeo Morishima. 2018. FSNET: An Identity-Aware Generative Model for Image-Based Face Swapping. In Proc. of ACCV."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3230744.3230818"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS46853.2019.9185974"},{"key":"e_1_3_2_1_49_1","volume-title":"Proc. of ICASSP.","author":"Nguyen H","year":"2019","unstructured":"Huy\u00a0 H Nguyen , Junichi Yamagishi , and Isao Echizen . 2019 . Use of a Capsule Network to Detect Fake Images and Videos . In Proc. of ICASSP. Huy\u00a0H Nguyen, Junichi Yamagishi, and Isao Echizen. 2019. Use of a Capsule Network to Detect Fake Images and Videos. In Proc. of ICASSP."},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00728"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00008"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00009"},{"key":"e_1_3_2_1_53_1","volume":"200","author":"Rumelhart E","unstructured":"David\u00a0 E Rumelhart , Geoffrey\u00a0 E Hinton , and Ronald\u00a0 J Williams. 200 4. Learning Internal Representations by Error Propagation. In Parallel Distributed Processing, Volume 1. Chapter\u00a010, 266\u2013290. David\u00a0E Rumelhart, Geoffrey\u00a0E Hinton, and Ronald\u00a0J Williams. 2004. Learning Internal Representations by Error Propagation. In Parallel Distributed Processing, Volume 1. Chapter\u00a010, 266\u2013290.","journal-title":"J Williams."},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASYU50717.2020.9259802"},{"key":"e_1_3_2_1_55_1","volume-title":"Proc. of ICLR.","author":"Simonyan Karen","year":"2015","unstructured":"Karen Simonyan and Andrew Zisserman . 2015 . Very Deep Convolutional Networks for Large-Scale Image Recognition . Proc. of ICLR. Karen Simonyan and Andrew Zisserman. 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. Proc. of ICLR."},{"key":"e_1_3_2_1_56_1","volume-title":"Proc. of ICL.","author":"Sundararajan Mukund","year":"2017","unstructured":"Mukund Sundararajan , Ankur Taly , and Qiqi Yan . 2017 . Axiomatic Attribution for Deep Networks . In Proc. of ICL. Mukund Sundararajan, Ankur Taly, and Qiqi Yan. 2017. Axiomatic Attribution for Deep Networks. In Proc. of ICL."},{"key":"e_1_3_2_1_57_1","volume-title":"Proc. of ICML.","author":"Tan Mingxing","year":"2019","unstructured":"Mingxing Tan and Quoc\u00a0 V Le . 2019 . Efficientnet: Rethinking Model Scaling for Convolutional Neural Networks . In Proc. of ICML. Mingxing Tan and Quoc\u00a0V Le. 2019. Efficientnet: Rethinking Model Scaling for Convolutional Neural Networks. In Proc. of ICML."},{"key":"e_1_3_2_1_58_1","first-page":"4","volume":"38","author":"Thies Justus","year":"2019","unstructured":"Justus Thies , Michael Zollh\u00f6fer , and Matthias Nie\u00dfner . 2019. Deferred Neural Rendering : Image Synthesis Using Neural Textures. ACM TOG 38 , 4 ( 2019 ), 1\u201312. Justus Thies, Michael Zollh\u00f6fer, and Matthias Nie\u00dfner. 2019. Deferred Neural Rendering: Image Synthesis Using Neural Textures. ACM TOG 38, 4 (2019), 1\u201312.","journal-title":"Image Synthesis Using Neural Textures. ACM TOG"},{"key":"e_1_3_2_1_59_1","volume-title":"Proc. of ICASSP.","author":"Yang X.","unstructured":"X. Yang , Y. Li , and S. Lyu . 2019. Exposing Deep Fakes Using Inconsistent Head Poses . In Proc. of ICASSP. X. Yang, Y. Li, and S. Lyu. 2019. Exposing Deep Fakes Using Inconsistent Head Poses. In Proc. of ICASSP."},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00765"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.229"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394171.3413769"}],"event":{"name":"WWW '21: The Web Conference 2021","location":"Ljubljana Slovenia","acronym":"WWW '21","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the Web Conference 2021"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3449978","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3442381.3449978","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:44Z","timestamp":1750195484000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3449978"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,19]]},"references-count":62,"alternative-id":["10.1145\/3442381.3449978","10.1145\/3442381"],"URL":"https:\/\/doi.org\/10.1145\/3442381.3449978","relation":{},"subject":[],"published":{"date-parts":[[2021,4,19]]},"assertion":[{"value":"2021-06-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}