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With the rapid advancement of generative AI, it is now possible to synthesize high-quality images in a few seconds. Despite the power of these technologies, they raise significant concerns regarding misuse. Current efforts to distinguish…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Siyuan Cheng , Lingjuan Lyu , Zhenting Wang , Xiangyu Zhang , Vikash Sehwag

Deepfake is a deep learning-based technique that makes it easy to change or modify images and videos. In investigations and court, visual evidence is commonly employed, but these pieces of evidence may now be suspect due to technological…

Computer Vision and Pattern Recognition · Computer Science 2023-01-18 Kundan Patil , Shrushti Kale , Jaivanti Dhokey , Abhishek Gulhane

AI-powered generative models have significantly expanded the possibilities for editing, manipulating, and creating high-quality images. Particularly, images that falsely appear to originate from trusted sources pose a serious threat,…

Cryptography and Security · Computer Science 2026-04-28 Mathias Graf , Marco Willi , Melanie Mathys , Michael Aerni , Christian Schwarzer , Martin Melchior , Michael H. Graber

The recent proliferation of fake portrait videos poses direct threats on society, law, and privacy. Believing the fake video of a politician, distributing fake pornographic content of celebrities, fabricating impersonated fake videos as…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Umur Aybars Ciftci , Ilke Demir

Deep Learning has been successfully applied in diverse fields, and its impact on deepfake detection is no exception. Deepfakes are fake yet realistic synthetic content that can be used deceitfully for political impersonation, phishing,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-13 Ammarah Hashmi , Sahibzada Adil Shahzad , Chia-Wen Lin , Yu Tsao , Hsin-Min Wang

With the powerful deep network architectures, such as generative adversarial networks, one can easily generate photorealistic images. Although the generated images are not dedicated for fooling human or deceiving biometric authentication…

Multimedia · Computer Science 2020-09-01 Haodong Li , Bin Li , Shunquan Tan , Jiwu Huang

The rapid advancement of Generative Artificial Intelligence (GenAI) capabilities is accompanied by a concerning rise in its misuse. In particular the generation of credible misinformation in the form of images poses a significant threat to…

Computer Vision and Pattern Recognition · Computer Science 2025-06-04 Sina Mavali , Jonas Ricker , David Pape , Asja Fischer , Lea Schönherr

The recent wave of AI research has enabled a new brand of synthetic media, called deepfakes. Deepfakes have impressive photorealism, which has generated exciting new use cases but also raised serious threats to our increasingly digital…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Nikolaos Giatsoglou , Symeon Papadopoulos , Ioannis Kompatsiaris

With advances in generative artificial intelligence (AI), it is now possible to produce realistic-looking automated reports for preliminary reads of radiology images. This can expedite clinical workflows, improve accuracy and reduce overall…

Artificial Intelligence · Computer Science 2025-06-03 Razi Mahmood , Diego Machado Reyes , Ge Wang , Mannudeep Kalra , Pingkun Yan

Images of war are almost as old as war itself. From cave paintings to photographs of mobile devices on social media, humans always had the urge to capture particularly important events during a war. Images provide visual evidence. For armed…

Computers and Society · Computer Science 2025-04-01 Raphael Meier

The rapid advancement of deepfake technology has significantly elevated the realism and accessibility of synthetic media. Emerging techniques, such as diffusion-based models and Neural Radiance Fields (NeRF), alongside enhancements in…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Md. Tarek Hasan , Sanjay Saha , Shaojing Fan , Swakkhar Shatabda , Terence Sim

Synthetic images, audio, and video can now be generated and edited by Artificial Intelligence (AI). In particular, the malicious use of synthetic data has raised concerns about potential harms to cybersecurity, personal privacy, and public…

Human-Computer Interaction · Computer Science 2025-08-05 Yingfan Zhou , Ester Chen , Manasa Pisipati , Aiping Xiong , Sarah Rajtmajer

Generative deep learning algorithms have progressed to a point where it is difficult to tell the difference between what is real and what is fake. In 2018, it was discovered how easy it is to use this technology for unethical and malicious…

Computer Vision and Pattern Recognition · Computer Science 2020-09-23 Yisroel Mirsky , Wenke Lee

Deepfake technology, derived from deep learning, seamlessly inserts individuals into digital media, irrespective of their actual participation. Its foundation lies in machine learning and Artificial Intelligence (AI). Initially, deepfakes…

Computer Vision and Pattern Recognition · Computer Science 2024-04-22 Gazi Hasin Ishrak , Zalish Mahmud , MD. Zami Al Zunaed Farabe , Tahera Khanom Tinni , Tanzim Reza , Mohammad Zavid Parvez

The advancement of visual intelligence is intrinsically tethered to the availability of large-scale data. In parallel, generative Artificial Intelligence (AI) has unlocked the potential to create synthetic images that closely resemble…

Computer Vision and Pattern Recognition · Computer Science 2023-10-24 Zuhao Yang , Fangneng Zhan , Kunhao Liu , Muyu Xu , Shijian Lu

Deep learning has been successfully appertained to solve various complex problems in the area of big data analytics to computer vision. A deep learning-powered application recently emerged is Deep Fake. It helps to create fake images and…

Computer Vision and Pattern Recognition · Computer Science 2021-09-28 Jatin Sharma , Sahil Sharma

The rapid advancement of video generation models has enabled the creation of highly realistic synthetic media, raising significant societal concerns regarding the spread of misinformation. However, current detection methods suffer from…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Zhengcen Li , Chenyang Jiang , Hang Zhao , Shiyang Zhou , Yunyang Mo , Feng Gao , Fan Yang , Qiben Shan , Shaocong Wu , Jingyong Su

Recently, generated images could reach very high quality, even human eyes could not tell them apart from real images. Although there are already some methods for detecting generated images in current forensic community, most of these…

Computer Vision and Pattern Recognition · Computer Science 2019-12-25 Xinsheng Xuan , Bo Peng , Wei Wang , Jing Dong

Hard coatings play a critical role in industry, with ceramic materials offering outstanding hardness and thermal stability for applications that demand superior mechanical performance. However, deploying artificial intelligence (AI) for…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Binwei Chen , Huachao Leng , Chi Yeung Mang , Tsz Wai Cheung , Yanhua Chen , Wai Keung Anthony Loh , Chi Ho Wong , Chak Yin Tang

Deepfakes are a type of synthetic media created using artificial intelligence, specifically deep learning algorithms. This technology can for example superimpose faces and voices onto videos, creating hyper-realistic but artificial…

Cryptography and Security · Computer Science 2025-12-02 Pericle Perazzo , Massimiliano Mattei , Giuseppe Anastasi , Marco Avvenuti , Gianluca Dini , Giuseppe Lettieri , Carlo Vallati
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