{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T18:06:28Z","timestamp":1762020388747,"version":"build-2065373602"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"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":[[2020,5]]},"DOI":"10.1109\/icassp40776.2020.9053922","type":"proceedings-article","created":{"date-parts":[[2020,4,9]],"date-time":"2020-04-09T20:21:13Z","timestamp":1586463673000},"page":"2947-2951","source":"Crossref","is-referenced-by-count":9,"title":["Improving Cross-Dataset Performance of Face Presentation Attack Detection Systems Using Face Recognition Datasets"],"prefix":"10.1109","author":[{"given":"Amir","family":"Mohammadi","sequence":"first","affiliation":[]},{"given":"Sushil","family":"Bhattacharjee","sequence":"additional","affiliation":[]},{"given":"Sebastien","family":"Marcel","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.425"},{"key":"ref32","article-title":"Spectral normalization for generative adversarial networks","author":"miyato","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"journal-title":"International Standards Organization for Standardization","article-title":"ISO\/IEC DIS 30107-3. Information Technology &#x2013; Biometric presentation attack detection &#x2013; Part 3: Testing and reporting","year":"2016","key":"ref30"},{"article-title":"Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing","year":"2019","author":"tu","key":"ref10"},{"article-title":"Deep Transfer Across Domains for Face Anti-spoofing","year":"2019","author":"tu","key":"ref11"},{"key":"ref12","first-page":"131","article-title":"Covariate shift and local learning by distribution matching","author":"gretton","year":"2009","journal-title":"Dataset Shift in Machine Learning"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.083"},{"key":"ref14","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"der maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref15","first-page":"585","article-title":"Controllable invariance through adversarial feature learning","author":"xie","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref16","first-page":"2096","article-title":"Domain-adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"The Journal of Machine Learning Research"},{"article-title":"The variational fair autoencoder","year":"2015","author":"louizos","key":"ref17"},{"article-title":"Learning unbiased features","year":"2014","author":"li","key":"ref18"},{"key":"ref19","first-page":"5092","article-title":"Unsupervised adversarial invariance","author":"jaiswal","year":"2018","journal-title":"Advances in neural information processing systems"},{"article-title":"InfoVAE: Information Maximizing Variational Autoencoders","year":"2017","author":"zhao","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1049\/iet-bmt.2017.0079"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2005.861075"},{"article-title":"A light CNN for deep face representation with noisy labels","year":"2015","author":"wu","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/BIOSIG.2016.7736936"},{"article-title":"Smartphone Multi-modal Biometric Authentication: Database and Evaluation","year":"2019","author":"ramachandra","key":"ref29"},{"journal-title":"International Standards Organization for Standardization","article-title":"Information technology &#x2013; Biometric presentation attack detection &#x2013; Part 1: Framework","year":"2016","key":"ref5"},{"key":"ref8","article-title":"Biometric Face Presentation Attack Detection with Multi-Channel Convolutional Neural Network","author":"george","year":"2019","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2017.77"},{"key":"ref2","first-page":"6","article-title":"Deep face recognition","volume":"1","author":"parkhi","year":"2015","journal-title":"British Machine Vision Conference"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICB45273.2019.8987370"},{"article-title":"Facenet: Face recognition using tensorflow","year":"2017","author":"sandberg","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2018.00155"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46487-9_6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2007.05.003"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICB45273.2019.8987276"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1006\/dspr.1999.0361"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IJCB.2011.6117599"}],"event":{"name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2020,5,4]]},"location":"Barcelona, Spain","end":{"date-parts":[[2020,5,8]]}},"container-title":["ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9040208\/9052899\/09053922.pdf?arnumber=9053922","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:14:46Z","timestamp":1656375286000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9053922\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/icassp40776.2020.9053922","relation":{},"subject":[],"published":{"date-parts":[[2020,5]]}}}