{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T16:09:14Z","timestamp":1726243754365},"publisher-location":"Cham","reference-count":37,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031510229"},{"type":"electronic","value":"9783031510236"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-51023-6_39","type":"book-chapter","created":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T02:02:36Z","timestamp":1705975356000},"page":"470-481","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Decoding Deception: Understanding Human Discrimination Ability in Differentiating Authentic Faces from Deepfake Deceits"],"prefix":"10.1007","author":[{"given":"Shelina Khalid","family":"Jilani","sequence":"first","affiliation":[]},{"given":"Zeno","family":"Geradts","sequence":"additional","affiliation":[]},{"given":"Aliyu","family":"Abubakar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,1,24]]},"reference":[{"issue":"3","key":"39_CR1","first-page":"1","volume":"11","author":"L Borges","year":"2019","unstructured":"Borges, L., Martins, B., Calado, P.: Combining similarity features and deep representation learning for stance detection in the context of checking fake news. J. Data Inf. Q. (JDIQ) 11(3), 1\u201326 (2019)","journal-title":"J. Data Inf. Q. (JDIQ)"},{"unstructured":"Dack, S.: Deep fakes, fake news, and what comes next.\u00a0The Henry M. Jackson School of International Studies (2019)","key":"39_CR2"},{"doi-asserted-by":"publisher","unstructured":"Mansoor, N., Iliev, A.: Artificial intelligence in forensic science. In: Arai, K. (eds.) Advances in Information and Communication. FICC 2023. LNNS, vol. 652, pp. 155\u2013163. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-28073-3_11","key":"39_CR3","DOI":"10.1007\/978-3-031-28073-3_11"},{"unstructured":"Bitesize, B.B.C.: deepfakes: what are they and why would I make one? (2019)","key":"39_CR4"},{"issue":"3","key":"39_CR5","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1177\/1365712718807226","volume":"23","author":"MH Maras","year":"2019","unstructured":"Maras, M.H., Alexandrou, A.: Determining authenticity of video evidence in the age of artificial intelligence and in the wake of Deepfake videos. The International Journal of Evidence & Proof 23(3), 255\u2013262 (2019)","journal-title":"The International Journal of Evidence & Proof"},{"issue":"3","key":"39_CR6","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1089\/cyber.2020.0100","volume":"24","author":"JD Cochran","year":"2021","unstructured":"Cochran, J.D., Napshin, S.A.: Deepfakes: awareness, concerns, and platform accountability. Cyberpsychol. Behav. Soc. Netw. 24(3), 164\u2013172 (2021)","journal-title":"Cyberpsychol. Behav. Soc. Netw."},{"issue":"3","key":"39_CR7","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1089\/cyber.2021.29208.jth","volume":"24","author":"JT Hancock","year":"2021","unstructured":"Hancock, J.T., Bailenson, J.N.: The social impact of deepfakes. Cyberpsychol. Behav. Soc. Netw. 24(3), 149\u2013152 (2021)","journal-title":"Cyberpsychol. Behav. Soc. Netw."},{"unstructured":"Jilani, S.K., Ugail, H., Logan, A.: Man vs machine: the ethnic verification of Pakistani and non-Pakistani mouth features. In: 41st ISTANBUL International Conference on \u201cAdvances in Science, Engineering & Technology\u201d (IASET-22) (2022)","key":"39_CR8"},{"issue":"1","key":"39_CR9","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/s00530-022-00984-w","volume":"29","author":"RR Adyapady","year":"2023","unstructured":"Adyapady, R.R., Annappa, B.: A comprehensive review of facial expression recognition techniques. Multimedia Syst. 29(1), 73\u2013103 (2023)","journal-title":"Multimedia Syst."},{"issue":"4","key":"39_CR10","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1353\/tj.2018.0097","volume":"70","author":"J Fletcher","year":"2018","unstructured":"Fletcher, J.: Deepfakes, artificial intelligence, and some kind of dystopia: the new faces of online post-fact performance. Theatr. J. 70(4), 455\u2013471 (2018)","journal-title":"Theatr. J."},{"doi-asserted-by":"crossref","unstructured":"Narayan, K., Agarwal, H., Thakral, K., Mittal, S., Vatsa, M., Singh, R.: DF-Platter: multi-face heterogeneous Deepfake dataset. In:\u00a0Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition,\u00a0pp. 9739\u20139748 (2023)","key":"39_CR11","DOI":"10.1109\/CVPR52729.2023.00939"},{"doi-asserted-by":"crossref","unstructured":"Korshunov, P., Marcel, S.: Vulnerability assessment and detection of deepfake videos. In:\u00a02019 International Conference on Biometrics (ICB),\u00a0pp. 1\u20136. IEEE, June 2019","key":"39_CR12","DOI":"10.1109\/ICB45273.2019.8987375"},{"issue":"11","key":"39_CR13","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1145\/3422622","volume":"63","author":"I Goodfellow","year":"2020","unstructured":"Goodfellow, I., et al.: Generative adversarial networks. Commun. ACM 63(11), 139\u2013144 (2020)","journal-title":"Commun. ACM"},{"issue":"10","key":"39_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3559540","volume":"55","author":"E Brophy","year":"2023","unstructured":"Brophy, E., Wang, Z., She, Q., Ward, T.: Generative adversarial networks in time series: a systematic literature review. ACM Comput. Surv. 55(10), 1\u201331 (2023)","journal-title":"ACM Comput. Surv."},{"doi-asserted-by":"crossref","unstructured":"Battiato, S., Giudice. O., Paratore, A.: Multimedia forensics: discovering the history of multimedia contents.\u00a0In: Proceedings of the 17th International Conference on Computer Systems and Technologies 2016, pp. 5\u201316 (2016)","key":"39_CR15","DOI":"10.1145\/2983468.2983470"},{"unstructured":"R\u00f6ssler, A., Cozzolino, D., Verdoliva, L., Riess, C., Thies, J., Nie\u00dfner, M.: Faceforensics: A large-scale video dataset for forgery detection in human faces (2018).\u00a0arXiv preprint arXiv:1803.09179","key":"39_CR16"},{"doi-asserted-by":"crossref","unstructured":"Vaccari, C., Chadwick, A.: Deepfakes and disinformation: exploring the impact of synthetic political video on deception, uncertainty, and trust in news.\u00a0Soc. Media+ Soc.\u00a06(1), 2056305120903408 (2020)","key":"39_CR17","DOI":"10.1177\/2056305120903408"},{"issue":"1","key":"39_CR18","doi-asserted-by":"publisher","first-page":"e2110013119","DOI":"10.1073\/pnas.2110013119","volume":"119","author":"M Groh","year":"2022","unstructured":"Groh, M., Epstein, Z., Firestone, C., Picard, R.: Deepfake detection by human crowds, machines, and machine-informed crowds. Proc. Natl. Acad. Sci. 119(1), e2110013119 (2022)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"5","key":"39_CR19","doi-asserted-by":"publisher","first-page":"1362","DOI":"10.1016\/j.jesp.2008.04.010","volume":"44","author":"JP Forgas","year":"2008","unstructured":"Forgas, J.P., East, R.: On being happy and gullible: mood effects on skepticism and the detection of deception. J. Exp. Soc. Psychol. 44(5), 1362\u20131367 (2008)","journal-title":"J. Exp. Soc. Psychol."},{"key":"39_CR20","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1146\/annurev-psych-010419-050807","volume":"71","author":"NM Brashier","year":"2020","unstructured":"Brashier, N.M., Marsh, E.J.: Judging truth. Annu. Rev. Psychol. 71, 499\u2013515 (2020)","journal-title":"Annu. Rev. Psychol."},{"unstructured":"Clore, G., et al.: Affective feelings as feedback: some cognitive consequences. In: Martin, L.L., Clore, G.L. (eds.) Theories of Mood and Cognition: A User\u2019s Handbook. pp. 27\u201362, L. Erlbaum, 2001","key":"39_CR21"},{"issue":"11","key":"39_CR22","doi-asserted-by":"publisher","first-page":"1948","DOI":"10.1109\/JPROC.2006.884093","volume":"94","author":"P Sinha","year":"2006","unstructured":"Sinha, P., Balas, B., Ostrovsky, Y., Russell, R.: Face recognition by humans: nineteen results all computer vision researchers should know about. Proc. IEEE 94(11), 1948\u20131962 (2006)","journal-title":"Proc. IEEE"},{"issue":"11","key":"39_CR23","doi-asserted-by":"publisher","first-page":"4302","DOI":"10.1523\/JNEUROSCI.17-11-04302.1997","volume":"17","author":"N Kanwisher","year":"1997","unstructured":"Kanwisher, N., McDermott, J., Chun, M.M.: The fusiform face area: a module in human extrastriate cortex specialized for face perception. J. Neurosci. 17(11), 4302\u20134311 (1997)","journal-title":"J. Neurosci."},{"issue":"5","key":"39_CR24","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.1037\/a0037004","volume":"140","author":"JJ Richler","year":"2014","unstructured":"Richler, J.J., Gauthier, I.: A meta-analysis and review of holistic face processing. Psychol. Bull. 140(5), 1281 (2014)","journal-title":"Psychol. Bull."},{"issue":"2","key":"39_CR25","doi-asserted-by":"publisher","first-page":"100","DOI":"10.1016\/j.tics.2017.11.007","volume":"22","author":"AW Young","year":"2018","unstructured":"Young, A.W., Burton, A.M.: Are we face experts? Trends Cogn. Sci. 22(2), 100\u2013110 (2018)","journal-title":"Trends Cogn. Sci."},{"doi-asserted-by":"crossref","unstructured":"Bruce, V., Young, A.W.:\u00a0Face perception. Psychology Press, Milton Park (2012)","key":"39_CR26","DOI":"10.4324\/9780203721254"},{"doi-asserted-by":"crossref","unstructured":"Sabel, J., Johansson, F.: On the robustness and generalizability of face synthesis detection methods. In:\u00a0Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition,\u00a0pp. 962\u2013971 (2021)","key":"39_CR27","DOI":"10.1109\/CVPRW53098.2021.00107"},{"doi-asserted-by":"crossref","unstructured":"Karras, T., Laine, S., Aila, T.: A style-based generator architecture for generative adversarial networks. In:\u00a0Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition,\u00a0pp. 4401\u20134410 (2019)","key":"39_CR28","DOI":"10.1109\/CVPR.2019.00453"},{"doi-asserted-by":"crossref","unstructured":"Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., Aila, T.: Analyzing and improving the image quality of stylegan. In:\u00a0Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition,\u00a0pp. 8110\u20138119 (2020)","key":"39_CR29","DOI":"10.1109\/CVPR42600.2020.00813"},{"doi-asserted-by":"crossref","unstructured":"Chen, R., Chen, X., Ni, B., Ge, Y.: SimSwap: an efficient framework for high fidelity face swapping. In: ACM Multimedia (2020)","key":"39_CR30","DOI":"10.1145\/3394171.3413630"},{"issue":"3","key":"39_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1360612.1360638","volume":"27","author":"D Bitouk","year":"2008","unstructured":"Bitouk, D., Kumar, N., Dhillon, S., Belhumeur, P., Nayar, S.K.: Face swapping: automatically replacing faces in photographs. ACM Trans. Graph. 27(3), 1\u20138 (2008)","journal-title":"ACM Trans. Graph."},{"doi-asserted-by":"crossref","unstructured":"Pu, J., et al.: Deepfake videos in the wild: analysis and detection. In:\u00a0Proceedings of the Web Conference 2021,\u00a0pp. 981\u2013992, April 2021","key":"39_CR32","DOI":"10.1145\/3442381.3449978"},{"issue":"8","key":"39_CR33","doi-asserted-by":"publisher","first-page":"2001","DOI":"10.1109\/TIFS.2018.2807791","volume":"13","author":"E Gonzalez-Sosa","year":"2018","unstructured":"Gonzalez-Sosa, E., Fierrez, J., Vera-Rodriguez, R., Alonso-Fernandez, F.: Facial soft biometrics for recognition in the wild: recent works, annotation, and COTS evaluation. IEEE Trans. Inf. Forensics Secur. 13(8), 2001\u20132014 (2018)","journal-title":"IEEE Trans. Inf. Forensics Secur."},{"issue":"4","key":"39_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3306346.3323035","volume":"38","author":"J Thies","year":"2019","unstructured":"Thies, J., Zollh\u00f6fer, M., Nie\u00dfner, M.: Deferred neural rendering: image synthesis using neural textures. ACM Trans. Graph. (TOG) 38(4), 1\u201312 (2019)","journal-title":"ACM Trans. Graph. (TOG)"},{"doi-asserted-by":"crossref","unstructured":"Soni, R., Arora, T.: A review of the techniques of images using GAN. In: Generative Adversarial Networks for Image-to-Image Translation, pp. 99\u2013123 (2021)","key":"39_CR35","DOI":"10.1016\/B978-0-12-823519-5.00006-3"},{"unstructured":"Mirza, M., Osindero, S.: Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784 (2014)","key":"39_CR36"},{"unstructured":"Khalid, H., Tariq, S., Kim, M., Woo, S.S.: FakeAVCeleb: a novel audio-video multimodal deepfake dataset (2021). arXiv preprint arXiv:2108.05080","key":"39_CR37"}],"container-title":["Lecture Notes in Computer Science","Image Analysis and Processing - ICIAP 2023 Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-51023-6_39","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T02:08:41Z","timestamp":1705975721000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-51023-6_39"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031510229","9783031510236"],"references-count":37,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-51023-6_39","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"24 January 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIAP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Image Analysis and Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Udine","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iciap2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.iciap2023.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"144","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"82","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"57% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"https:\/\/iciap2023.org\/satellite-event\/workshops\/","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}