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Diffusion Facial Forgery Detection [PDF]
Proceedings of the 32nd ACM International Conference on MultimediaDetecting diffusion-generated images has recently developed as an emerging research area. Existing diffusion-based datasets predominantly focus on general image generation.
Harry Cheng +4 more
semanticscholar +3 more sources
MSCSCC-Net: multi-scale contextual spatial-channel correlation network for forgery detection and localization of JPEG-compressed image [PDF]
Scientific ReportsJPEG artifacts produced during the JPEG compression may obscure forgery artifacts, impairing the efficiency of regular forgery detection and localization approaches.
Wuyang Shan +3 more
doaj +2 more sources
Image copy-move forgery detection and localization based on super-BPD segmentation and DCNN [PDF]
Scientific Reports, 2022 With the increasing importance of image information, image forgery seriously threatens the security of image content. Copy-move forgery detection (CMFD) is a greater challenge because its abnormality is smaller than other forgeries.
Qianwen Li +3 more
doaj +2 more sources
An Evaluation of Popular Copy-Move Forgery Detection Approaches
IEEE Transactions on Information Forensics and Security, 2012 A copy-move forgery is created by copying and pasting content within the same image, and potentially post-processing it. In recent years, the detection of copy-move forgeries has become one of the most actively researched topics in blind image forensics.
Vincent Christlein +2 more
exaly +3 more sources
Image Inpainting Forgery Detection: A Review. [PDF]
J ImagingIn recent years, significant advancements in the field of machine learning have influenced the domain of image restoration. While these technological advancements present prospects for improving the quality of images, they also present difficulties ...
Barglazan AA, Brad R, Constantinescu C.
europepmc +2 more sources
Combined spatial and frequency dual stream network for face forgery detection [PDF]
PeerJ Computer ScienceWith the development of generative model, the cost of facial manipulation and forgery is becoming lower and lower. Fraudulent data has brought numerous hidden threats in politics, privacy, and cybersecurity.
Hui Zhao +3 more
doaj +3 more sources
Blind Detection of Copy-Move Forgery in Digital Audio Forensics
IEEE Access, 2017 Although copy-move forgery is one of the most common fabrication techniques, blind detection of such tampering in digital audio is mostly unexplored. Unlike active techniques, blind forgery detection is challenging, because it does not embed a watermark ...
Muhammad Imran +3 more
doaj +3 more sources
Learning to Discover Forgery Cues for Face Forgery Detection
IEEE Transactions on Information Forensics and SecurityLocating manipulation maps, i.e., pixel-level annotation of forgery cues, is crucial for providing interpretable detection results in face forgery detection.
Jiahe Tian +6 more
semanticscholar +3 more sources
International Research Journal on Advanced Engineering and Management (IRJAEM)With the advancement in technology, there are growing challenges in the authenticity and integrity of images, image manipulation has crumbled assurance over digital image.
Ms.A.M Kowshika, Dr.B. Ramya
semanticscholar +5 more sources
Region Duplication Forgery Detection Technique Based on SURF and HAC [PDF]
The Scientific World Journal, 2013 Region duplication forgery detection is a special type of forgery detection approach and widely used research topic under digital image forensics. In copy move forgery, a specific area is copied and then pasted into any other region of the image.
Parul Mishra +3 more
doaj +2 more sources