2 papers
cs.CV2025
Make the Most of Everything: Further Considerations on Disrupting Diffusion-based Customization
Long Tang, Dengpan Ye, Sirun Chen +3
The fine-tuning technique for text-to-image diffusion models facilitates image customization but risks privacy breaches and opinion manipulation. Current research focuses on prompt…
cs.CV2024
ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models
Sipeng Shen, Yunming Zhang, Dengpan Ye +5
While face recognition (FR) models have brought remarkable convenience in face verification and identification, they also pose substantial privacy risks to the public. Existing fac…