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Face authentication usually utilizes deep learning models to verify users with high recognition accuracy.
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VOICEBOX: Speech Processing Toolbox for MATLAB , 2003, http://www.ee.ic.ac.uk/hp/staff/dmb/voicebox/voicebox.html
2003
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M. I. Faraj and J. Bigun, “Motion features from lip movement for person authentication,” in Proc. of IEEE International Conference on Pattern Recognition (ICPR) , vol. 3, 2006, pp. 1059–1062
2006
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G. Pan, L. Sun, Z. Wu, and S. Lao, “Eyeblink-based anti-spoofing in face recognition from a generic webcamera,” in Proc. of IEEE International Conference on Computer Vision (ICCV) , 2007, pp. 1–8
2007
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K. Kollreider, H. Fronthaler, M. I. Faraj, and J. Bigün, “Real-time face detection and motion analysis with application in “liveness” assessment,” IEEE Transactions on Information Forensics and Security , vol. 2, no. 3-2, pp. 548–558, 2007
2007
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W. Bao, H. Li, N. Li, and W. Jiang, “A liveness detection method for face recognition based on optical flow field,” in Proc. of IEEE International Conference on Image Analysis and Signal Processing (IASP) , 2009, pp. 233–236
2009
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H. Gao, H. Liu, D. Yao, X. Liu, and U. Aickelin, “An audio captcha to distinguish humans from computers,” in Proc. of IEEE International Symposium on Electronic Commerce and Security (ISEIS) , 2010, pp. 265–269
2010
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X. Tan, Y. Li, J. Liu, and L. Jiang, “Face liveness detection from a single image with sparse low rank bilinear discriminative model,” in Proc. of European Conference on Computer Vision (ECCV) , 2010, pp. 504–517
2010
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How to bypass Android liveness check , 2012, https://www.youtube.com/watch?v=zYxphDK6s3I
2012
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G. Kim, S. Eum, J. K. Suhr, D. I. Kim, K. R. Park, and J. Kim, “Face liveness detection based on texture and frequency analyses,” in Proc. of IEEE International Conference on Biometrics (ICB) , 2012, pp. 67–72
2012
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A. Lagorio, M. Tistarelli, M. Cadoni, C. Fookes, and S. Sridharan, “Liveness detection based on 3d face shape analysis,” in Proc. of IEEE International Workshop on Biometrics and Forensics (IWBF) , 2013, pp. 1–4
2013
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T. Wang, J. Yang, Z. Lei, S. Liao, and S. Z. Li, “Face liveness detection using 3d structure recovered from a single camera,” in Proc. of IEEE International Conference on Biometrics (ICB) , 2013, pp. 1–6
2013
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S. Kim, S. Yu, K. Kim, Y. Ban, and S. Lee, “Face liveness detection using variable focusing,” in Proc. of IEEE International Conference on Biometrics (ICB) , 2013, pp. 1–6
2013
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N. Erdogmus and S. Marcel, “Spoofing face recognition with 3d masks,” IEEE Transactions on Information Forensics and Security , vol. 9, no. 7, pp. 1084–1097, 2014
2014
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Y. Li, K. Xu, Q. Yan, Y. Li, and R. H. Deng, “Understanding osn-based facial disclosure against face authentication systems,” in Proc. of ACM Symposium on Information, Computer and Communications Security (ASIACCS) , 2014, pp. 413–424
2014
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S. Chen, A. Pande, and P. Mohapatra, “Sensor-assisted facial recognition: An enhanced biometric authentication system for smartphones,” in Proc. of ACM Annual International Conference on Mobile Systems, Applications, and Services (MobiSys) , 2014, pp. 109–122
2014
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Y. Li, Y. Li, Q. Yan, H. Kong, and R. H. Deng, “Seeing your face is not enough: An inertial sensor-based liveness detection for face authentication,” in Proc. of ACM SIGSAC Conference on Computer and Communications Security (CCS) , 2015, pp. 1558–1569
2015
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D. Menotti, G. Chiachia, A. da Silva Pinto, W. R. Schwartz, H. Pedrini, A. X. Falcão, and A. Rocha, “Deep representations for iris, face, and fingerprint spoofing detection,” IEEE Transactions on Information Forensics and Security , vol. 10, no. 4, pp. 864–879, 2015
2015
Cited alongside, same era.
X. Zhu, Z. Lei, J. Yan, D. Yi, and S. Z. Li, “High-fidelity pose and expression normalization for face recognition in the wild,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2015, pp. 787–796
2015
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Z. Boulkenafet, J. Komulainen, and A. Hadid, “Face spoofing detection using colour texture analysis,” IEEE Transactions on Information Forensics and Security , vol. 11, no. 8, pp. 1818–1830, 2016
E. Uzun, S. P. H. Chung, I. Essa, and W. Lee, “rtCaptcha: A real-time captcha based liveness detection system.” in Proc. of Annual Network and Distributed System Security Symposium (NDSS) , 2018
2018
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F. Peng, L. Qin, and M. Long, “Face presentation attack detection using guided scale texture,” Multimedia Tools and Applications , vol. 77, no. 7, pp. 8883–8909, 2018
2018
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Face API of Microsoft azure , 2018, https://azure.microsoft.com/en-us/services/cognitive-services/face/
2018
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M. Zhou, Q. Wang, T. Lei, Z. Wang, and K. Ren, “Enabling online robust barcode-based visible light communication with realtime feedback,” IEEE Transactions on Wireless Communications , vol. 17, no. 12, pp. 8063–8076, 2018
2018
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2016
Cited alongside, same era.
M. Sharif, S. Bhagavatula, L. Bauer, and M. K. Reiter, “Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition,” in Proc. of ACM SIGSAC Conference on Computer and Communications Security (CCS) , 2016, pp. 1528–1540
2016
Cited alongside, same era.
Y. Xu, T. Price, J. Frahm, and F. Monrose, “Virtual U: defeating face liveness detection by building virtual models from your public photos,” in Proc. of USENIX Security Symposium (Security) , 2016, pp. 497–512
2016
Cited alongside, same era.
L. Zhang, S. Tan, J. Yang, and Y. Chen, “Voicelive: A phoneme localization based liveness detection for voice authentication on smartphones,” in Proc. of ACM SIGSAC Conference on Computer and Communications Security (CCS) , 2016, pp. 1080–1091
2016
Cited alongside, same era.
Amazon Rekognition , 2016, https://aws.amazon.com/cn/rekognition/
2016
Cited alongside, same era.
Face comparing of Face++ , 2016, https://www.faceplusplus.com/face-comparing/
2016
Cited alongside, same era.
J. Thies, M. Zollhofer, M. Stamminger, C. Theobalt, and M. Nießner, “Face2face: Real-time face capture and reenactment of rgb videos,” in Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2016, pp. 2387–2395
2016
Cited alongside, same era.
Use Face ID on your iPhone or iPad Pro , 2017, https://support.apple.com/en-us/HT208109
2017
Cited alongside, same era.
Alipay facial recognition payment system , 2017, https://www.biometricupdate.com/tag/Alipay
2017
Cited alongside, same era.
2019
Later among the works it cites.
Facial recognition market - growth, trends, and forecast (2019 - 2024) , 2019, https://www.mordorintelligence.com/industry-reports/facial-recognition-market
2019
Later among the works it cites.
X. Yuan, P. He, Q. Zhu, and X. Li, “Adversarial examples: Attacks and defenses for deep learning,” IEEE transactions on neural networks and learning systems , vol. 30, no. 9, pp. 2805–2824, 2019
2019
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R. Ramachandra, S. Venkatesh, K. B. Raja, S. Bhattacharjee, P. Wasnik, S. Marcel, and C. Busch, “Custom silicone face masks: Vulnerability of commercial face recognition systems & presentation attack detection,” in Proc. of IEEE International Workshop on Biometrics and Forensics (IWBF) , 2019, pp. 1–6
2019
Later among the works it cites.
2019
Later among the works it cites.
L. Lu, J. Yu, Y. Chen, H. Liu, Y. Zhu, L. Kong, and M. Li, “Lip reading-based user authentication through acoustic sensing on smartphones,” IEEE/ACM Transactions on Networking , vol. 27, no. 1, pp. 447–460, 2019
2019
Later among the works it cites.
M. Zhou, Q. Wang, J. Yang, Q. Li, P. Jiang, Y. Chen, and Z. Wang, “Stealing your android patterns via acoustic signals,” IEEE Transactions on Mobile Computing , vol. PP, no. 99, pp. 1–1, 10.1109/TMC.2019.2 960 778, 2019
2019
Later among the works it cites.
L. Wu, J. Yang, M. Zhou, Y. Chen, and Q. Wang, “LVID: a multimodal biometrics authentication system on smartphones,” IEEE Transactions on Information Forensics and Security , vol. 15, pp. 1572–1585, 2020
2020
Later among the works it cites.
H. Chen, W. Wang, J. Zhang, and Q. Zhang, “Echoface: Acoustic sensor-based media attack detection for face authentication,” IEEE Internet of Things Journal , vol. 7, no. 3, pp. 2152–2159, 2020
2020
Later among the works it cites.
A. George, Z. Mostaani, D. Geissenbuhler, O. Nikisins, A. Anjos, and S. Marcel, “Biometric face presentation attack detection with multi-channel convolutional neural network,” IEEE Transactions on Information Forensics and Security , vol. 15, pp. 42–55, 2020
2020
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A. George and S. Marcel, “Learning one class representations for face presentation attack detection using multi-channel convolutional neural networks,” IEEE Transactions on Information Forensics and Security , vol. 16, pp. 361–375, 2020
2020
Later among the works it cites.
2020
Later among the works it cites.
Q. Wang, X. Lin, M. Zhou, Y. Chen, C. Wang, Q. Li, and X. Luo, “Voicepop: A pop noise based anti-spoofing system for voice authentication on smartphones,” in Proc. of IEEE Conference on Computer Communications (INFOCOM) , 2019, pp. 2062–2070
2070
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