Hybrid framework for image forgery detection and robustness against adversarial attacks using vision transformer and SVM. [PDF]
Sci RepAbdelmaksoud M +3 more
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Interpol review of forensic image and video analysis, 2022-2025. [PDF]
Forensic Sci Int SynergGeradts Z, van Lierop S, Kombrink M.
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MFAN: Multi-Level Features Attention Network for Fake Certificate Image Detection. [PDF]
Entropy (Basel), 2022 Sun Y, Ni R, Zhao Y.
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IoT-Oriented Security for Small Sensor Systems Using DnCNN Denoising and Multimodal Feature Fusion for Image Forgery Detection. [PDF]
Sensors (Basel)Nasir N, Waseem SS, Bilal M, Hassan SR.
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Multi-resolution transfer learning for tampered image classification using SE-enhanced fused-MBConv and optimized CNN heads. [PDF]
Sci RepKorsipati JR +4 more
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SFTA-Net: a self-supervised approach to detect copy-move and splicing forgery to leverage triplet loss, auxiliary loss, and spatial attention. [PDF]
PeerJ Comput SciAlabrah A.
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Image tampering detection using dynamic histogram equalization based LIOP features and novel scaled K-means + + clustering. [PDF]
Sci RepMehmood Z +5 more
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DFST-UNet: Dual-Domain Fusion Swin Transformer U-Net for Image Forgery Localization. [PDF]
Entropy (Basel)Yang J, Xie A, Mai T, Chen Y.
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Multi-label classification for image tamper detection based on Swin-T segmentation network in the spatial domain. [PDF]
PeerJ Comput SciLi L, Zhang K, Lu J, Zhang S.
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MSCSCC-Net: multi-scale contextual spatial-channel correlation network for forgery detection and localization of JPEG-compressed image. [PDF]
Sci RepShan W, Yue J, Ding SX, Qiu J.
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