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The increasing availability of advanced image editing tools has led to a significant rise in manipulated digital content, posing serious challenges for digital forensics and information security. This study presents a transfer…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Fatma Betul Buyuk , Gozde Karatas Baydogmus , Ali Buldu , Ayaulym Tulendiyeva , Zhuldyz Baizhumanova

The possibility of carrying out a meaningful forensics analysis on printed and scanned images plays a major role in many applications. First of all, printed documents are often associated with criminal activities, such as terrorist plans,…

Computer Vision and Pattern Recognition · Computer Science 2021-02-16 Anselmo Ferreira , Ehsan Nowroozi , Mauro Barni

Cutting-edge diffusion models produce images with high quality and customizability, enabling them to be used for commercial art and graphic design purposes. But do diffusion models create unique works of art, or are they replicating content…

Machine Learning · Computer Science 2022-12-13 Gowthami Somepalli , Vasu Singla , Micah Goldblum , Jonas Geiping , Tom Goldstein

Distinguishing manipulated from real images is becoming increasingly difficult as new sophisticated image forgery approaches come out by the day. Naive classification approaches based on Convolutional Neural Networks (CNNs) show excellent…

Computer Vision and Pattern Recognition · Computer Science 2019-11-28 Davide Cozzolino , Justus Thies , Andreas Rössler , Christian Riess , Matthias Nießner , Luisa Verdoliva

The social media-fuelled explosion of fake news and misinformation supported by tampered images has led to growth in the development of models and datasets for image manipulation detection. However, existing detection methods mostly treat…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Joshua Krinsky , Alan Bettis , Qiuyu Tang , Daniel Moreira , Aparna Bharati

Deep learning has received increasing interests in face recognition recently. Large quantities of deep learning methods have been proposed to handle various problems appeared in face recognition. Quite a lot deep methods claimed that they…

Computer Vision and Pattern Recognition · Computer Science 2023-07-07 Na Zhang

The increasing proliferation of misinformation and its alarming impact have motivated both industry and academia to develop approaches for fake news detection. However, state-of-the-art approaches are usually trained on datasets of smaller…

Computation and Language · Computer Science 2023-05-31 Sahar Tahmasebi , Sherzod Hakimov , Ralph Ewerth , Eric Müller-Budack

Although the recent advancement in generative models brings diverse advantages to society, it can also be abused with malicious purposes, such as fraud, defamation, and fake news. To prevent such cases, vigorous research is conducted to…

Computer Vision and Pattern Recognition · Computer Science 2022-03-08 Yonghyun Jeong , Doyeon Kim , Pyounggeon Kim , Youngmin Ro , Jongwon Choi

Due to the reduction of technological costs and the increase of satellites launches, satellite images are becoming more popular and easier to obtain. Besides serving benevolent purposes, satellite data can also be used for malicious reasons…

Computer Vision and Pattern Recognition · Computer Science 2022-09-20 Lydia Abady , Edoardo Daniele Cannas , Paolo Bestagini , Benedetta Tondi , Stefano Tubaro , Mauro Barni

The recent computer graphics developments have upraised the quality of the generated digital content, astonishing the most skeptical viewer. Games and movies have taken advantage of this fact but, at the same time, these advances have…

Computer Vision and Pattern Recognition · Computer Science 2017-11-29 Edmar R. S. de Rezende , Guilherme C. S. Ruppert , Antonio Theophilo , Tiago Carvalho

As manipulating images by copy-move, splicing and/or inpainting may lead to misinterpretation of the visual content, detecting these sorts of manipulations is crucial for media forensics. Given the variety of possible attacks on the…

Computer Vision and Pattern Recognition · Computer Science 2022-06-07 Chengbo Dong , Xinru Chen , Ruohan Hu , Juan Cao , Xirong Li

Digital image manipulation has become increasingly accessible and realistic with the advent of generative AI technologies. Recent developments allow for text-guided inpainting, making sophisticated image edits possible with minimal effort.…

Computer Vision and Pattern Recognition · Computer Science 2024-10-07 Hannes Mareen , Dimitrios Karageorgiou , Glenn Van Wallendael , Peter Lambert , Symeon Papadopoulos

Advanced image editing software enables easy creation of highly convincing image manipulations, which has been made even more accessible in recent years due to advances in generative AI. Manipulated images, while often harmless, could…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Keanu Nichols , Divya Appapogu , Giscard Biamby , Dina Bashkirova , Anna Rohrbach , Bryan A. Plummer

With recent advances in computer vision and graphics, it is now possible to generate videos with extremely realistic synthetic faces, even in real time. Countless applications are possible, some of which raise a legitimate alarm, calling…

Computer Vision and Pattern Recognition · Computer Science 2018-03-28 Andreas Rössler , Davide Cozzolino , Luisa Verdoliva , Christian Riess , Justus Thies , Matthias Nießner

The ability to detect manipulation in multimedia data is vital in digital forensics. Existing Image Manipulation Detection (IMD) methods are mainly based on detecting anomalous features arisen from image editing or double compression…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Zhenfei Zhang , Mingyang Li , Ming-Ching Chang

The area of Handwritten Signature Verification has been broadly researched in the last decades, but remains an open research problem. The objective of signature verification systems is to discriminate if a given signature is genuine…

Computer Vision and Pattern Recognition · Computer Science 2019-01-25 Luiz G. Hafemann , Robert Sabourin , Luiz S. Oliveira

Adherence to scientific community standards ensures objectivity, clarity, reproducibility, and helps prevent bias, fabrication, falsification, and plagiarism. To help scientific integrity officers and journal/publisher reviewers monitor if…

Computer Vision and Pattern Recognition · Computer Science 2021-02-04 Ghazal Mazaheri , Kevin Urrutia Avila , Amit K. Roy-Chowdhury

Recent developments in computer vision and machine learning have made it possible to create realistic manipulated videos of human faces, raising the issue of ensuring adequate protection against the malevolent effects unlocked by such…

Computer Vision and Pattern Recognition · Computer Science 2020-02-12 Michail Tarasiou , Stefanos Zafeiriou

The stunning progress in face manipulation methods has made it possible to synthesize realistic fake face images, which poses potential threats to our society. It is urgent to have face forensics techniques to distinguish those tampered…

Computer Vision and Pattern Recognition · Computer Science 2019-12-13 Jia Li , Tong Shen , Wei Zhang , Hui Ren , Dan Zeng , Tao Mei

In the realm of digital media, the advent of AI-generated synthetic images has introduced significant challenges in distinguishing between real and fabricated visual content. These images, often indistinguishable from authentic ones, pose a…

Computer Vision and Pattern Recognition · Computer Science 2024-05-27 Yuyang Wang , Yizhi Hao , Amando Xu Cong