2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Privacy-Preserving Face Recognition Using Random Frequency Components
Yuxi Mi, Yuge Huang, Jiazhen Ji +5
The ubiquitous use of face recognition has sparked increasing privacy concerns, as unauthorized access to sensitive face images could compromise the information of individuals. Thi…
cs.CV2022
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain
Jiazhen Ji, Huan Wang, Yuge Huang +6
Face recognition technology has been used in many fields due to its high recognition accuracy, including the face unlocking of mobile devices, community access control systems, and…
cs.CV2022★ 2 cited
Evaluation-oriented Knowledge Distillation for Deep Face Recognition
Yuge Huang, Jiaxiang Wu, Xingkun Xu +1
Knowledge distillation (KD) is a widely-used technique that utilizes large networks to improve the performance of compact models. Previous KD approaches usually aim to guide the st…