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On the Generalization of GAN Image Forensics [PDF]
, 2019 Recently the GAN generated face images are more and more realistic with high-quality, even hard for human eyes to detect. On the other hand, the forensics community keeps on developing methods to detect these generated fake images and try to guarantee the credibility of visual contents.
Xinsheng Xuan +3 more
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Differential Imaging Forensics
CoRR, 2019 We introduce some new forensics based on differential imaging, where a novel category of visual evidence created via subtle interactions of light with a scene, such as dim reflections, can be computationally extracted and amplified from an image of interest through a comparative analysis with an additional reference baseline image acquired under ...
Aurélien Bourquard, Jeff Yan
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A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection
IEEE Access, 2020 Due to limited computational and memory resources, current deep learning models accept only rather small images in input, calling for preliminary image resizing.
Francesco Marra +3 more
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FloreView: An Image and Video Dataset for Forensic Analysis
IEEE Access, 2023 Linking a digital image or video to its originating device, or checking the content integrity still represent challenging forensic tasks. Even though several technologies based on metadata, file format, and sensor noise have been developed to address ...
Daniele Baracchi +3 more
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Warwick Image Forensics Dataset for Device Fingerprinting in Multimedia Forensics [PDF]
2020 IEEE International Conference on Multimedia and Expo (ICME), 2020 Paper accepted to IEEE International Conference on Multimedia and Expo 2020 (ICME 2020)
Yijun Quan +3 more
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DS‐Net: Dual supervision neural network for image manipulation localization
IET Image Processing, 2023 With the rapid development of image editing technology, tampering with images has become easier. Maliciously tampered images lead to serious security problems (e.g., when used as evidence).
Chenwei Dai +3 more
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Deepfake-Image Anti-Forensics with Adversarial Examples Attacks
Future Internet, 2021 Many deepfake-image forensic detectors have been proposed and improved due to the development of synthetic techniques. However, recent studies show that most of these detectors are not immune to adversarial example attacks.
Li Fan, Wei Li, Xiaohui Cui
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Evaluation of deepfake detection using YOLO with local binary pattern histogram [PDF]
PeerJ Computer Science, 2022 Recently, deepfake technology has become a popularly used technique for swapping faces in images or videos that create forged data to mislead society. Detecting the originality of the video is a critical process due to the negative pattern of the image ...
Štěpán Hubálovský +3 more
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Image Noise and Digital Image Forensics [PDF]
, 2016 Noise is an intrinsic specificity of all forms of imaging, and can be found in various forms in all domains of digital imagery. This paper offers an overall review of digital image noise, from its causes and models to the degradations it suffers along the image acquisition pipeline.
Julliand, Thibaut +2 more
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Sensors, 2020 Traditionally, digital image forensics mainly focused on the low-level features of an image, such as edges and texture, because these features include traces of the image’s modification history.
Haneol Jang, Jong-Uk Hou
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