Welcome to Face Anti-spoofing (Presentation Attack Detection) Challenges
Face anti-spoofing is essential to prevent face recognition systems from a security breach. Although face anti-spoofing detection methods have been proposed so far, the problem is still unsolved due to the difficulty on the design of features and methods for spoof attacks. In order to push the techniques of face anti-spoofing. We organize some face anti-spoofing challenges.
The 4th Face Anti-spoofing Challenge is preparing.
May, 2022, the HiFiMask paper is accepted by IEEE TIFS.
April 19, 2021, the 3rd Face Anti-spoofing challenge@ICCV2021 is begining. (link)
April, 2021, the proposal of the 3rd Face Anti-spoofing Workshop and Challenge@ICCV 2021 is accepted. (link)
November, 2020, face anti-spoofing paper  is accepted by WACV 2021, where we release the CASIA-SURF CeFA dataset.
September, 2020, a review of cross-ethnicity face anti-spoofing challenge has been accepted by IET Biometrics .
August, 2020, Our special issue on Face Presentation Attack Detection has been accepted by IEEE Transactions on Biometrics, Behavior, and Identity Science （TBIOM） (link)
May, 2020, a review of Cross-ethnicity Face Anti-spoofing Recognition Challenge in CVPR 2020 is released .
Feb, 2020, Journal version of CASIA-SURF has been accepted by IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM ) 
Feb 15, 2020, Face Anti-spoofing Attack Detection Challenge@CVPR2020 will be held on the Media Forensics Workshop@CVPR2020
Dec 17, 2020, Face Anti-spoofing Attack Detection Challenge@CVPR2020 (link)
Dec 6, 2019, CASIA-SURF CeFA dataset and baseline method are released [3,4]
June 2019, face anti-spoofing paper is accepted by CVPR 2019 
June 2019, workshop paper for face anti-spoofing challenge overview@CVPR2019 
Dec 2018, CASIA-SURF dataset released 
Sergio Escalera, Computer Vision Center (UAB) and University of Barcelona, Spain, firstname.lastname@example.org
Hugo Jair Escalante, INAOE, ChaLearn, Mexico, email@example.com
Isabelle Guyon, Université Paris-Saclay, France and ChaLearn, Berkeley, California, USA, firstname.lastname@example.org
Guodong Guo, IDL, Baidu Research, China, email@example.com
Shaopeng Tang, Beijing SurfingTech Co., Ltd, firstname.lastname@example.org
Ref (* corresponding author):
all the listed papers can be found in http://www.cbsr.ia.ac.cn/users/jwan/publication.html.
Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan*, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li, " A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing ", CVPR, 2019 .
Ajian Liu, Jun Wan*, Sergio Escalera, Hugo Jair Escalante, Zichang Tan, Qi Yuan, Kai Wang, Chi Lin, Guodong Guo, Isabelle Guyon, Stan Z. Li, "Multi-modal Face Anti-spooﬁng Attack Detection Challenge at CVPR2019", CVPR workshop, 2019.
Shifeng Zhang, Ajian Liu, Jun Wan*, Yanyan Liang, Guodong Guo, Sergio Escalera, Hugo Jair Escalante and Stan Z. Li, "CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing", IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM), 2020.
Ajian Liu, Xuan Li, Jun Wan*, Yanyan Liang, Sergio Escalera, Hugo Jair Escalante, Meysam Madadi, Yi Jin, Zhuoyuan Wu, Xiaogang Yu, Zichang Tan, Qi Yuan, Ruikun Yang, Benjia Zhou, Guodong Guo, Stan Z. Li, "Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review", IET Biometrics, 2020.
Ajian Liu, Zichang Tan, Jun Wan*, Sergio Escalera, Guodong Guo, Stan Z. Li, "CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing", WACV, 2021.
Ajian Liu, Chenxu Zhao, Zitong Yu, Jun Wan*, Anyang Su, Xing Liu, Zichang Tan, Sergio Escalera, Junliang Xing, Yanyan Liang, Guodong Guo, Zhen Lei, Stan Z. Li, Du Zhang, “Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection", IEEE TIFS, 2022. [Link]
Ajian Liu, Chenxu Zhao, Zitong Yu, Anyang Su, Xing Liu, Jun Wan*, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Guodong Guo "3D High-Fidelity Mask Face Presentation Attack Detection Challenge", ICCVW, 2021