{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T17:56:03Z","timestamp":1772301363913,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":38,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,4,8]],"date-time":"2019-04-08T00:00:00Z","timestamp":1554681600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,4,8]]},"DOI":"10.1145\/3297280.3297410","type":"proceedings-article","created":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T12:18:47Z","timestamp":1556713127000},"page":"1296-1303","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":53,"title":["GAN is a friend or foe?"],"prefix":"10.1145","author":[{"given":"Shahroz","family":"Tariq","sequence":"first","affiliation":[{"name":"The State University of New York, Korea (SUNY-Korea), Incheon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sangyup","family":"Lee","sequence":"additional","affiliation":[{"name":"The State University of New York, Korea (SUNY-Korea), Incheon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hoyoung","family":"Kim","sequence":"additional","affiliation":[{"name":"The State University of New York, Korea (SUNY-Korea), Incheon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youjin","family":"Shin","sequence":"additional","affiliation":[{"name":"The State University of New York, Korea (SUNY-Korea), Incheon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simon S.","family":"Woo","sequence":"additional","affiliation":[{"name":"The State University of New York, Korea (SUNY-Korea), Incheon, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,4,8]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"e_1_3_2_1_2_1","volume-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift. arXiv preprint arXiv:1502.03167","author":"Ioffe Sergey","year":"2015","unstructured":"Sergey Ioffe and Christian Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. arXiv preprint arXiv:1502.03167, 2015."},{"key":"e_1_3_2_1_3_1","volume-title":"Generative adversarial networks. arxiv. org","author":"Goodfellow Ian J","year":"2014","unstructured":"Ian J Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial networks. arxiv. org, 2014."},{"key":"e_1_3_2_1_4_1","volume-title":"Progressive growing of gans for improved quality, stability, and variation. arXiv preprint arXiv:1710.10196","author":"Karras Tero","year":"2017","unstructured":"Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen. Progressive growing of gans for improved quality, stability, and variation. arXiv preprint arXiv:1710.10196, 2017."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00917"},{"key":"e_1_3_2_1_6_1","volume-title":"Vice","author":"Cole Samantha","year":"2018","unstructured":"Samantha Cole. We are truly fucked: Everyone is making ai-generated fake porn now. Vice, Jan 2018."},{"key":"e_1_3_2_1_7_1","volume-title":"February","author":"Christian Jon","year":"2018","unstructured":"Jon Christian. Experts fear face swapping tech could start an international showdown, February 2018."},{"key":"e_1_3_2_1_8_1","unstructured":"Wikipedia. Deepfake 2018."},{"key":"e_1_3_2_1_9_1","volume-title":"March","author":"Roose Kevin","year":"2018","unstructured":"Kevin Roose. Here come the fake videos, too, March 2018."},{"key":"e_1_3_2_1_10_1","volume-title":"April","author":"Romano Aja","year":"2018","unstructured":"Aja Romano. Jordan peele's simulated obama psa is a double-edged warning against fake news, April 2018."},{"key":"e_1_3_2_1_11_1","volume-title":"Fighting fake news: Image splice detection via learned self-consistency. arXiv preprint arXiv:1805.04096","author":"Huh Minyoung","year":"2018","unstructured":"Minyoung Huh, Andrew Liu, Andrew Owens, and Alexei A Efros. Fighting fake news: Image splice detection via learned self-consistency. arXiv preprint arXiv:1805.04096, 2018."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2015.03.014"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CCAA.2015.7148492"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISDA.2013.6920733"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2008.2012215"},{"key":"e_1_3_2_1_16_1","first-page":"16","volume-title":"Hacker Factor Solutions","author":"Krawetz Neal","year":"2007","unstructured":"Neal Krawetz. A picture's worth: Digital image analysis and forensics. Hacker Factor Solutions, pages 16--20, 2007."},{"key":"e_1_3_2_1_17_1","volume-title":"Learning rich features for image manipulation detection. arXiv preprint arXiv:1805.04953","author":"Zhou Peng","year":"2018","unstructured":"Peng Zhou, Xintong Han, Vlad I. Morariu, and Larry S. Davis. Learning rich features for image manipulation detection. arXiv preprint arXiv:1805.04953, 2018."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3082031.3083247"},{"key":"e_1_3_2_1_19_1","volume-title":"Comparison and analysis of photo image forgery detection techniques. arXiv preprint arXiv:1302.3119","author":"Murali S.","year":"2013","unstructured":"S. Murali, Govindraj B. Chittapur, H. S. Prabhakara, and Basavaraj S. Anami. Comparison and analysis of photo image forgery detection techniques. arXiv preprint arXiv:1302.3119, 2013."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.03.019"},{"key":"e_1_3_2_1_21_1","first-page":"1","volume-title":"Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556","author":"Simonyan Karen","year":"2014","unstructured":"Karen Simonyan and Andrew Zisserman. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556, pages 1--14, 2014."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"e_1_3_2_1_24_1","volume-title":"Learning transferable architectures for scalable image recognition. arXiv preprint arXiv:1707.07012","author":"Zoph Barret","year":"2017","unstructured":"Barret Zoph, Vijay Vasudevan, Jonathon Shlens, and Quoc V. Le. Learning transferable architectures for scalable image recognition. arXiv preprint arXiv:1707.07012, 2017."},{"key":"e_1_3_2_1_25_1","volume-title":"Xception: Deep learning with depthwise separable convolutions. arXiv preprint arXiv:1610.02357","author":"Chollet Fran\u00e7ois","year":"2017","unstructured":"Fran\u00e7ois Chollet. Xception: Deep learning with depthwise separable convolutions. arXiv preprint arXiv:1610.02357, 2017."},{"key":"e_1_3_2_1_26_1","volume-title":"Faceforensics: A large-scale video dataset for forgery detection in human faces. arXiv preprint arXiv:1803.09179","author":"R\u00f6ssler Andreas","year":"2018","unstructured":"Andreas R\u00f6ssler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nie\u00dfner. Faceforensics: A large-scale video dataset for forgery detection in human faces. arXiv preprint arXiv:1803.09179, 2018."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.262"},{"key":"e_1_3_2_1_28_1","unstructured":"Neal Krawetz. Fotoforensics 2012."},{"key":"e_1_3_2_1_29_1","volume-title":"Mmc image forensic tool","author":"Kaist Multimedia Computing","year":"2015","unstructured":"Multimedia Computing Lab in Kaist. Mmc image forensic tool, 2015."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"e_1_3_2_1_31_1","unstructured":"seetaface. Seetafaceengine 2016."},{"key":"e_1_3_2_1_32_1","unstructured":"Iv\u00e1n de Paz Centeno. Mtcnn 2018."},{"key":"e_1_3_2_1_33_1","volume-title":"Joint face detection and alignment using multi-task cascaded convolutional networks. arXiv prerpint arXiv:1604.02878","author":"Zhang Kaipeng","year":"2016","unstructured":"Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, and Yu Qiao. Joint face detection and alignment using multi-task cascaded convolutional networks. arXiv prerpint arXiv:1604.02878, 2016."},{"key":"e_1_3_2_1_34_1","volume-title":"Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767","author":"Redmon Joseph","year":"2018","unstructured":"Joseph Redmon and Ali Farhadi. Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767, 2018."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.5555\/1577069.1755843"},{"key":"e_1_3_2_1_36_1","volume-title":"https:\/\/keras.io","author":"Keras Fran\u00e7ois Chollet","year":"2015","unstructured":"Fran\u00e7ois Chollet et al. Keras. https:\/\/keras.io, 2015."},{"key":"e_1_3_2_1_37_1","unstructured":"Hyoungseok Chu. Auroc November 2017."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"}],"event":{"name":"SAC '19: The 34th ACM\/SIGAPP Symposium on Applied Computing","location":"Limassol Cyprus","acronym":"SAC '19","sponsor":["SIGAPP ACM Special Interest Group on Applied Computing"]},"container-title":["Proceedings of the 34th ACM\/SIGAPP Symposium on Applied Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3297280.3297410","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3297280.3297410","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:02:15Z","timestamp":1750208535000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3297280.3297410"}},"subtitle":["a framework to detect various fake face images"],"short-title":[],"issued":{"date-parts":[[2019,4,8]]},"references-count":38,"alternative-id":["10.1145\/3297280.3297410","10.1145\/3297280"],"URL":"https:\/\/doi.org\/10.1145\/3297280.3297410","relation":{},"subject":[],"published":{"date-parts":[[2019,4,8]]},"assertion":[{"value":"2019-04-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}