Results 51 to 60 of about 32,604 (141)
RIFD-Net: A Robust Image Forgery Detection Network
IEEE AccessImage splicing forensic technologies reveal manipulations that add or remove objects from images. However, the performance of existing splicing forensic methods is fatally degraded when detecting noisy images, as they often ignore the influence of image ...
Wuyang Shan +5 more
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, 2019 Offline Signature Verification (OSV) is a challenging pattern recognition task, especially when it is expected to generalize well on the skilled forgeries that are not available during the training.
Araabi, Babak N. +3 more
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Robust forgery detection for compressed images using CNN supervision
Forensic Science International: Reports, 2020 Images available on online sharing platforms have a high probability of being modified, with additional global transformations such as compression, resizing or filtering covering the possible alteration.
Boubacar Diallo +3 more
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Image Splicing Localization Using A Multi-Task Fully Convolutional Network (MFCN)
, 2017 In this work, we propose a technique that utilizes a fully convolutional network (FCN) to localize image splicing attacks. We first evaluated a single-task FCN (SFCN) trained only on the surface label.
Kuo, C. -C. Jay +2 more
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Image Forgery Localization Based on Multi-Scale Convolutional Neural Networks
, 2018 In this paper, we propose to utilize Convolutional Neural Networks (CNNs) and the segmentation-based multi-scale analysis to locate tampered areas in digital images.
Cao, Yun +3 more
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, 2018 Computer-generated graphics (CGs) are images generated by computer software. The~rapid development of computer graphics technologies has made it easier to generate photorealistic computer graphics, and these graphics are quite difficult to distinguish ...
Hu, Weitong +4 more
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Advancements in CNN-Based Techniques for Robust Image Forgery Detection: Challenges and Future Directions [PDF]
E3S Web of ConferencesIn response to the rise of manipulated images online, which are often obscured by compression and resizing, effective forgery detection systems have become essential.
C Raghavendra +3 more
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Analysis of adversarial attacks against CNN-based image forgery detectors
, 2018 With the ubiquitous diffusion of social networks, images are becoming a dominant and powerful communication channel. Not surprisingly, they are also increasingly subject to manipulations aimed at distorting information and spreading fake news.
Gragnaniello, Diego +3 more
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网络与信息安全学报With the rapid development of artificial intelligence technology, image forgery techniques have become increasingly complex and covert, particularly in the areas of generative and image editing forgeries.
Hou Yifan +5 more
doaj
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis
, 2018 Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods. While resampling detection algorithms are effective in detecting splicing and resampling, copy-move detection algorithms excel in ...
Bappy, Jawadul H. +8 more
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