1 code implementation • ICCV 2023 • Yuxi Mi, Yuge Huang, Jiazhen Ji, Minyi Zhao, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou
The ubiquitous use of face recognition has sparked increasing privacy concerns, as unauthorized access to sensitive face images could compromise the information of individuals.
1 code implementation • 15 Jul 2022 • Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shengchuan Zhang, Liujuan Cao, Rongrong Ji
This paper proposes a privacy-preserving face recognition method using differential privacy in the frequency domain.
1 code implementation • 15 Jul 2022 • Yuxi Mi, Yuge Huang, Jiazhen Ji, Hongquan Liu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou
To compensate, the method introduces a plug-in interactive block to allow attention transfer from the client-side by producing a feature mask.
1 code implementation • CVPR 2022 • Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding
Inspired by the ultimate goal of KD methods, we propose a novel Evaluation oriented KD method (EKD) for deep face recognition to directly reduce the performance gap between the teacher and student models during training.
1 code implementation • CVPR 2021 • Xingkun Xu, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang, Yong Li, Zhen Cui
Then, an additional penalty term, which is in proportion to the ratio of instance FPR overall FPR, is introduced into the denominator of the softmax-based loss.