C Miao, Z Tan, Q Chu, N Yu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, face manipulation techniques have caused increasing trust concerns in our society. Although current face manipulation detection methods achieve impressive …
A Luo, C Kong, J Huang, Y Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Face forgery detection is essential in combating malicious digital face attacks. Previous methods mainly rely on prior expert knowledge to capture specific forgery clues, such as …
Z Tan, Z Yang, C Miao, G Guo - IEEE Signal Processing Letters, 2022 - ieeexplore.ieee.org
Deepfake detection has attracted increasing attention in recent years. In this paper, we propose a transformer-based framework with feature compensation and aggregation (Trans …
AI-synthesized text and images have gained significant attention, particularly due to the widespread dissemination of multi-modal manipulations on the internet, which has resulted …
Z Chen, B Li, K Jiang, S Wu, S Ding… - arXiv preprint arXiv …, 2023 - arxiv.org
Face forgery generation technologies generate vivid faces, which have raised public concerns about security and privacy. Many intelligent systems, such as electronic payment …
As Deepfake contents continue to proliferate on the internet, advancing face manipulation forensics has become a pressing issue. To combat this emerging threat, previous methods …
With the advancement of face manipulation technology, forgery images in multi-face scenarios are gradually becoming a more complex and realistic challenge. Despite this …
P Xu, Z Ma, X Mei, jie Shen - Multimedia Systems, 2024 - Springer
Nowadays, numerous synthesized images and videos generated by facial manipulated techniques have become an emerging problem, which promotes facial manipulation …
Y Wang, H Fu, T Wu - Applied Sciences, 2024 - mdpi.com
With the advancement of generative models, face forgeries are becoming increasingly realistic, making face forgery detection a hot topic in research. The primary challenge in face …