An Efficient CNN Model to Detect Copy-Move Image Forgery by Khalid M. Hosny, Akram M. Mortda, Mostafa M. Fouda, Nabil A. Lashin

Subjects: “…Image forgery detection…”
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Deep Learning for Detection of Object-Based Forgery in Advanced Video by Ye Yao, Yunqing Shi, Shaowei Weng, Bo Guan

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Forgery detection using chaotic watermarking in image key areas by Rui Tao, Yanjing Sun, Weidong Liu

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Synthetic images aid the recognition of human-made art forgeries by Johann Ostmeyer, Ludovica Schaerf, Pavel Buividovich, Tessa Charles, Eric Postma, Carina Popovici

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RIFD-Net: A Robust Image Forgery Detection Network by Wuyang Shan, Deng Zou, Pengbo Wang, Jingchuan Yue, Aoling Liu, Jun Li

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Structural Correlation Based Method for Image Forgery Classification and Localization by Nam Thanh Pham, Jong-Weon Lee, Chun-Su Park

Subjects: “…image forgery…”
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Image Forgery Detection Using Deep Learning by Recompressing Images by Syed Sadaf Ali, Iyyakutti Iyappan Ganapathi, Ngoc-Son Vu, Syed Danish Ali, Neetesh Saxena, Naoufel Werghi

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Music from beyond (or how to deal with a musical forgery) by Lisa Giombini

“…This, in turn, may reveal us something about the value of musical forgeries. …”
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Forgeries, Falsehoods and Figurations: Redaing Truth(s) in Peter Ackroyd’s Chatterton by Fabian Ivanovici

“…Under constant threat of rewriting, the self becomes a matter of caprice, seeking footholds in notions of originality and forgery, in obsessions with roots and root causes, to provide a second, more reliable Truth, free from the confines of ambiguity. …”
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Video forgery detection method based on local difference binary by Vasif Nabıyev, Mustafa Ulutas, Beste Ustubıoglu, Guzin Ulutas

Subjects: “…video forgery…”
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Fusion of Handcrafted and Deep Features for Forgery Detection in Digital Images by Savita Walia, Krishan Kumar, Munish Kumar, Xiao-Zhi Gao

“…Deep learning approaches have shown promising results in various image classification problems but cannot find hidden patterns in digital images, which can reliably detect image forgeries. State-of-art accuracy of deep learning approaches for forgery detection is up to 98% on benchmarked datasets. …”
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From MoneyArt to forgery. Banknote as metaphor of Economy Rethinking by Silvano Manganaro

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Robust forgery detection for compressed images using CNN supervision by Boubacar Diallo, Thierry Urruty, Pascal Bourdon, Christine Fernandez-Maloigne

Subjects: “…Forgery image detection…”
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ResTran: Long Distance Relationship on Image Forgery Detection by Jingjing Rao, Songpon Teerakanok, Tetsutaro Uehara

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Harmonizing Image Forgery Detection & Localization: Fusion of Complementary Approaches by Hannes Mareen, Louis De Neve, Peter Lambert, Glenn Van Wallendael

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Enhancing Digital Image Forgery Detection Using Transfer Learning by Ashgan H. Khalil, Atef Z. Ghalwash, Hala Abdel-Galil Elsayed, Gouda I. Salama, Haitham A. Ghalwash

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Copy Move and Splicing Image Forgery Detection using CNN by Mallick Devjani, Shaikh Mantasha, Gulhane Anuja, Maktum Tabassum

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Lip forgery detection via spatial-frequency domain combination by Jiaying LIN, Wenbo ZHOU, Weiming ZHANG, Nenghai YU

Subjects: “…deepfake forgery…”
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Optimal Forgery and Suppression of Ratings for Privacy Enhancement in Recommendation Systems by Javier Parra-Arnau, David Rebollo-Monedero, Jordi Forné

“…We characterize the optimal trade-off surface among privacy, forgery rate and suppression rate,and experimentally evaluate how our approach could contribute to privacy protection in a real-world recommendation system.…”
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Dual Attention Network Approaches to Face Forgery Video Detection by Yi-Xiang Luo, Jiann-Liang Chen

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