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Appl. Percept."],"published-print":{"date-parts":[[2021,1,31]]},"abstract":"<jats:p>Face de-identification (or \u201cmasking\u201d) algorithms have been developed in response to the prevalent use of video recordings in public places. We evaluated the success of face identity masking for human perceivers and a deep convolutional neural network (DCNN). Eight de-identification algorithms were applied to videos of drivers\u2019 faces, while they actively operated a motor vehicle. These masks were pre-selected to be applicable to low-quality video and to maintain coarse information about facial actions. Humans studied high-resolution images to learn driver identities and were tested on their recognition of active drivers in low-resolution videos. Faces in the videos were either unmasked or were masked by one of the eight algorithms. When participants were tested immediately after learning (Experiment 1), all masks reduced identification, with six of eight masks reducing identification to extremely poor performance. In a second experiment, two of the most effective masks were tested after a delay of 7 or 28 days. The delay did not further reduce identification of the masked faces. In all masked conditions, participants maintained stringent decision criteria, with low confidence in recognition, further indicating the effectiveness of the masks. Next, the DCNN performed an identity-matching task between high-resolution images and masked videos\u2014a task analogous to that done by humans. The pattern of accuracy for the DCNN mirrored some, but not all, aspects of human performance, highlighting the need to test the effectiveness of identity masking for both humans and machines. The DCNN was also tested on its ability to match identity between masked and unmasked versions of the same video, based only on the face. DCNN performance for the eight masks offers insight into the nature of the information in faces that is coded in these networks.<\/jats:p>","DOI":"10.1145\/3422988","type":"journal-article","created":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T05:08:46Z","timestamp":1609477726000},"page":"1-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Evaluating Automated Face Identity-Masking Methods with Human Perception and a Deep Convolutional Neural Network"],"prefix":"10.1145","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7192-1278","authenticated-orcid":false,"given":"Kimberley D. 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Karnowski , David S. Bolme , and Alice J . O\u2019Toole. 2017. Evaluation of automated identity masking method (AIM) in naturalistic driving study (NDS) . In 12th IEEE International Conference on Automatic Face 8 Gesture Recognition (FG \u201917) . IEEE, 378--385. Asal Baragchizadeh, Thomas P. Karnowski, David S. Bolme, and Alice J. O\u2019Toole. 2017. Evaluation of automated identity masking method (AIM) in naturalistic driving study (NDS). In 12th IEEE International Conference on Automatic Face 8 Gesture Recognition (FG \u201917). 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Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study . In 2015 IEEE Intelligent Vehicles Symposium (IV\u201915) . IEEE, 174--179. J. Paone, D. Bolme, Regina Ferrell, Deniz Aykac, and T. Karnowski. 2015. Baseline face detection, head pose estimation, and coarse direction detection for facial data in the SHRP2 naturalistic driving study. In 2015 IEEE Intelligent Vehicles Symposium (IV\u201915). IEEE, 174--179."},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.5244\/C.29.41"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1163\/156856897X00366"},{"key":"e_1_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/83.704308"},{"volume-title":"FRVT 2006 and ICE 2006 Large-Scale Results. Technical Report NISTIR 7408","author":"Phillips P. J.","key":"e_1_2_1_47_1","unstructured":"P. J. Phillips , W. T. Scruggs , A. J. O\u2019Toole , P. J. Flynn , K. W. Bowyer , C. L. Schott , and M. 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Rajeev Ranjan, Ankan Bansal, Hongyu Xu, Swami Sankaranarayanan, Jun-Cheng Chen, Carlos D. Castillo, and Rama Chellappa. 2018. Crystal loss and quality pooling for unconstrained face verification and recognition. arXiv preprint arXiv:1804.01159 (2018)."},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2764116"},{"key":"e_1_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.137"},{"key":"e_1_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2015.7285017"},{"key":"e_1_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1068\/p5490"},{"key":"e_1_2_1_54_1","volume-title":"Triplet probabilistic embedding for face verification and clustering. arXiv preprint arXiv:1604.05417","author":"Sankaranarayanan Swami","year":"2016","unstructured":"Swami Sankaranarayanan , Azadeh Alavi , Carlos Castillo , and Rama Chellappa . 2016. Triplet probabilistic embedding for face verification and clustering. arXiv preprint arXiv:1604.05417 ( 2016 ). Swami Sankaranarayanan, Azadeh Alavi, Carlos Castillo, and Rama Chellappa. 2016. Triplet probabilistic embedding for face verification and clustering. arXiv preprint arXiv:1604.05417 (2016)."},{"key":"e_1_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2006.884093"},{"key":"e_1_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298907"},{"volume-title":"Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201991)","author":"Matthew","key":"e_1_2_1_57_1","unstructured":"Matthew A. Turk and Alex P. Pentland. 1991. Face recognition using eigenfaces . In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201991) . IEEE, 586--591. Matthew A. Turk and Alex P. Pentland. 1991. Face recognition using eigenfaces. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201991). 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Looking at upside-down faces.Journal of Experimental Psychology 81, 1 (1969), 141."},{"key":"e_1_2_1_65_1","doi-asserted-by":"publisher","DOI":"10.1068\/p3376"},{"volume-title":"Face Recognition","author":"Zhao Wenyi","key":"e_1_2_1_66_1","unstructured":"Wenyi Zhao , Arvindh Krishnaswamy , Rama Chellappa , Daniel L. Swets , and John Weng . 1998. Discriminant analysis of principal components for face recognition . In Face Recognition . Springer , 73--85. Wenyi Zhao, Arvindh Krishnaswamy, Rama Chellappa, Daniel L. Swets, and John Weng. 1998. Discriminant analysis of principal components for face recognition. In Face Recognition. 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