Anti-Fake Vaccine: Safeguarding Privacy Against Face Swapping via Visual-Semantic Dual Degradation

Deepfake and Facial Privacy Protection: Innovative Research on Anti-Fake Vaccine Background and Motivation In recent years, advancements in deepfake technology have posed severe threats to personal privacy and social security. Facial swapping, a typical application of deepfake technology, is widely used in filmmaking and computer games, but its ris...

Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation

Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation

Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation Background Introduction Medical image segmentation plays a crucial role in clinical diagnosis as it helps doctors identify and analyze diseases. However, this task typically faces challenges such as sensitive data, privacy issues, and expensive annotation costs. W...