Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results

1 code implementation • 12 Apr 2023 • Dong Wang, Jia Guo, Qiqi Shao, Haochi He, Zhian Chen, Chuanbao Xiao, Ajian Liu, Sergio Escalera, Hugo Jair Escalante, Zhen Lei, Jun Wan, Jiankang Deng

Leveraging the WFAS dataset and Protocol 1 (Known-Type), we host the Wild Face Anti-Spoofing Challenge at the CVPR2023 workshop.

Face Anti-Spoofing Face Recognition

Towards Speeding up Adversarial Training in Latent Spaces

no code implementations • 1 Feb 2021 • Yaguan Qian, Qiqi Shao, Tengteng Yao, Bin Wang, Shouling Ji, Shaoning Zeng, Zhaoquan Gu, Wassim Swaileh

Adversarial training is wildly considered as one of the most effective way to defend against adversarial examples.

EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks

no code implementations • 19 Sep 2020 • Ya-guan Qian, Qiqi Shao, Jia-min Wang, Xiang Lin, Yankai Guo, Zhaoquan Gu, Bin Wang, Chunming Wu

This dynamic defense can prohibit the adversary from selecting an optimal substitute model for black-box attacks.

Knowledge Distillation Scheduling