5 papers · 1 filter
KAN See Your Face
Dong Han, Yong Li, Joachim Denzler
With the advancement of face reconstruction (FR) systems, privacy-preserving face recognition (PPFR) has gained popularity for its secure face recognition, enhanced facial privacy…
ShieldDiff: Suppressing Sexual Content Generation from Diffusion Models through Reinforcement Learning
Dong Han, Salaheldin Mohamed, Yong Li
With the advance of generative AI, the text-to-image (T2I) model has the ability to generate various contents. However, the generated contents cannot be fully controlled. There is…
Fusion is all you need: Face Fusion for Customized Identity-Preserving Image Synthesis
Salaheldin Mohamed, Dong Han, Yong Li
Text-to-image (T2I) models have significantly advanced the development of artificial intelligence, enabling the generation of high-quality images in diverse contexts based on speci…
Robust Skin Color Driven Privacy Preserving Face Recognition via Function Secret Sharing
Dong Han, Yufan Jiang, Yong Li +2
In this work, we leverage the pure skin color patch from the face image as the additional information to train an auxiliary skin color feature extractor and face recognition model…
Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain
Dong Han, Yong Li, Joachim Denzler
Face recognition technology has been deployed in various real-life applications. The most sophisticated deep learning-based face recognition systems rely on training millions of fa…