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Related papers: CapsFake: A Multimodal Capsule Network for Detecti…

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The revolution in computer hardware, especially in graphics processing units and tensor processing units, has enabled significant advances in computer graphics and artificial intelligence algorithms. In addition to their many beneficial…

Computer Vision and Pattern Recognition · Computer Science 2019-10-30 Huy H. Nguyen , Junichi Yamagishi , Isao Echizen

Deepfake detection refers to detecting artificially generated or edited faces in images or videos, which plays an essential role in visual information security. Despite promising progress in recent years, Deepfake detection remains a…

Computer Vision and Pattern Recognition · Computer Science 2023-12-11 Chunlei Peng , Huiqing Guo , Decheng Liu , Nannan Wang , Ruimin Hu , Xinbo Gao

Recent advances in media generation techniques have made it easier for attackers to create forged images and videos. State-of-the-art methods enable the real-time creation of a forged version of a single video obtained from a social…

Computer Vision and Pattern Recognition · Computer Science 2018-10-29 Huy H. Nguyen , Junichi Yamagishi , Isao Echizen

Deepfake videos present an increasing threat to society with potentially negative impact on criminal justice, democracy, and personal safety and privacy. Meanwhile, detecting deepfakes, at scale, remains a very challenging task that often…

Computer Vision and Pattern Recognition · Computer Science 2024-06-24 Mulin Tian , Mahyar Khayatkhoei , Joe Mathai , Wael AbdAlmageed

The rapid advancement of deepfake technology poses a significant threat to digital media integrity. Deepfakes, synthetic media created using AI, can convincingly alter videos and audio to misrepresent reality. This creates risks of…

Computer Vision and Pattern Recognition · Computer Science 2024-10-21 Kashish Gandhi , Prutha Kulkarni , Taran Shah , Piyush Chaudhari , Meera Narvekar , Kranti Ghag

The rapid development of technologies and artificial intelligence makes deepfakes an increasingly sophisticated and challenging-to-identify technique. To ensure the accuracy of information and control misinformation and mass manipulation,…

Computer Vision and Pattern Recognition · Computer Science 2024-02-26 Paloma Cantero-Arjona , Alfonso Sánchez-Macián

The rapid advancement in deep learning makes the differentiation of authentic and manipulated facial images and video clips unprecedentedly harder. The underlying technology of manipulating facial appearances through deep generative…

Computer Vision and Pattern Recognition · Computer Science 2021-09-08 Sm Zobaed , Md Fazle Rabby , Md Istiaq Hossain , Ekram Hossain , Sazib Hasan , Asif Karim , Khan Md. Hasib

The rise of deepfake images, especially of well-known personalities, poses a serious threat to the dissemination of authentic information. To tackle this, we present a thorough investigation into how deepfakes are produced and how they can…

Computer Vision and Pattern Recognition · Computer Science 2023-09-06 Haixu Song , Shiyu Huang , Yinpeng Dong , Wei-Wei Tu

Deep learning has been successfully applied to solve various complex problems ranging from big data analytics to computer vision and human-level control. Deep learning advances however have also been employed to create software that can…

Computer Vision and Pattern Recognition · Computer Science 2022-08-12 Thanh Thi Nguyen , Quoc Viet Hung Nguyen , Dung Tien Nguyen , Duc Thanh Nguyen , Thien Huynh-The , Saeid Nahavandi , Thanh Tam Nguyen , Quoc-Viet Pham , Cuong M. Nguyen

In the recent years, social media has grown to become a major source of information for many online users. This has given rise to the spread of misinformation through deepfakes. Deepfakes are videos or images that replace one persons face…

Computer Vision and Pattern Recognition · Computer Science 2022-07-28 Jacob Mallet , Rushit Dave , Naeem Seliya , Mounika Vanamala

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

DeepFake technology has gained significant attention due to its ability to manipulate facial attributes with high realism, raising serious societal concerns. Face-Swap DeepFake is the most harmful among these techniques, which fabricates…

Computer Vision and Pattern Recognition · Computer Science 2024-10-17 Pu Sun , Honggang Qi , Yuezun Li

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

Deepfakes and manipulated media are becoming a prominent threat due to the recent advances in realistic image and video synthesis techniques. There have been several attempts at combating Deepfakes using machine learning classifiers.…

Computer Vision and Pattern Recognition · Computer Science 2022-04-06 Paarth Neekhara , Shehzeen Hussain , Xinqiao Zhang , Ke Huang , Julian McAuley , Farinaz Koushanfar

The growing diversity of digital face manipulation techniques has led to an urgent need for a universal and robust detection technology to mitigate the risks posed by malicious forgeries. We present a blended-based detection approach that…

Computer Vision and Pattern Recognition · Computer Science 2023-12-14 Yuyang Sun , Huy H. Nguyen , Chun-Shien Lu , ZhiYong Zhang , Lu Sun , Isao Echizen

Deepfakes, synthetic media created using advanced AI techniques, pose a growing threat to information integrity, particularly in politically sensitive contexts. This challenge is amplified by the increasing realism of modern generative…

Computer Vision and Pattern Recognition · Computer Science 2025-10-08 Victor Livernoche , Akshatha Arodi , Andreea Musulan , Zachary Yang , Adam Salvail , Gaétan Marceau Caron , Jean-François Godbout , Reihaneh Rabbany

In this paper, we develop and explore deep anomaly detection techniques based on the capsule network (CapsNet) for image data. Being able to encoding intrinsic spatial relationship between parts and a whole, CapsNet has been applied as both…

Machine Learning · Computer Science 2019-07-16 Xiaoyan Li , Iluju Kiringa , Tet Yeap , Xiaodan Zhu , Yifeng Li

A deepfake is a photo or video of a person whose image has been digitally altered or partially replaced with an image of someone else. Deepfakes have the potential to cause a variety of problems and are often used maliciously. A common…

Artificial Intelligence · Computer Science 2024-09-01 Natalie Krueger , Mounika Vanamala , Rushit Dave

Online media data, in the forms of images and videos, are becoming mainstream communication channels. However, recent advances in deep learning, particularly deep generative models, open the doors for producing perceptually convincing…

Computer Vision and Pattern Recognition · Computer Science 2022-12-13 Junke Wang , Zhenxin Li , Chao Zhang , Jingjing Chen , Zuxuan Wu , Larry S. Davis , Yu-Gang Jiang

The proliferation of sophisticated AI-generated deepfakes poses critical challenges for digital media authentication and societal security. While existing detection methods perform well within specific generative domains, they exhibit…

Computer Vision and Pattern Recognition · Computer Science 2025-05-26 Naseem Khan , Tuan Nguyen , Amine Bermak , Issa Khalil
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