Can chatgpt detect deepfakes? a study of using multimodal large language models for media forensics
DeepFakes which refer to AI-generated media content have become an increasing concern
due to their use as a means for disinformation. Detecting DeepFakes is currently solved with …
due to their use as a means for disinformation. Detecting DeepFakes is currently solved with …
HDF-Net: Capturing homogeny difference features to localize the tampered image
Modern image editing software enables anyone to alter the content of an image to deceive
the public, which can pose a security hazard to personal privacy and public safety. The …
the public, which can pose a security hazard to personal privacy and public safety. The …
Attentive and contrastive image manipulation localization with boundary guidance
W Liu, H Zhang, X Lin, Q Zhang, Q Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, the rapid advancement of image generation techniques has resulted in the
widespread abuse of manipulated images, leading to a crisis of trust and affecting social …
widespread abuse of manipulated images, leading to a crisis of trust and affecting social …
Dual defense: Adversarial, traceable, and invisible robust watermarking against face swapping
Malicious applications of deep face swapping technology pose security threats such as
misinformation dissemination and identity fraud. Some research propose the utilization of …
misinformation dissemination and identity fraud. Some research propose the utilization of …
Exploring Autonomous Methods for Deepfake Detection: A Detailed Survey on Techniques and Evaluation
R Sunil, P Mer, A Diwan, R Mahadeva, A Sharma - Heliyon, 2025 - cell.com
The fast progress of deepfake technology has caused a huge overlap between reality and
deceit, leading to substantial worries over the authenticity of dig-ital media content …
deceit, leading to substantial worries over the authenticity of dig-ital media content …
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey
HH Nguyen-Le, VT Tran, DT Nguyen… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent years, deepfakes (DFs) have been utilized for malicious purposes, such as
individual impersonation, misinformation spreading, and artists' style imitation, raising …
individual impersonation, misinformation spreading, and artists' style imitation, raising …
Contrastive Multi-FaceForensics: An End-to-end Bi-grained Contrastive Learning Approach for Multi-face Forgery Detection
DeepFakes have raised serious societal concerns, leading to a great surge in detection-
based forensics methods in recent years. Face forgery recognition is the conventional …
based forensics methods in recent years. Face forgery recognition is the conventional …
Improving the transferability of adversarial attacks via self-ensemble
Deep neural networks have been used extensively for diverse visual tasks, including object
detection, face recognition, and image classification. However, they face several security …
detection, face recognition, and image classification. However, they face several security …
Mixture-of-noises enhanced forgery-aware predictor for multi-face manipulation detection and localization
With the advancement of face manipulation technology, forgery images in multi-face
scenarios are gradually becoming a more complex and realistic challenge. Despite this …
scenarios are gradually becoming a more complex and realistic challenge. Despite this …
ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces
The prominent progress in generative models has significantly improved the authenticity of
generated faces, raising serious concerns in society. To combat GAN-generated faces …
generated faces, raising serious concerns in society. To combat GAN-generated faces …