Results 81 to 90 of about 6,210 (184)

Forensic detection of medical image manipulation using PACS and DICOM artifacts

Journal of Forensic Sciences, Volume 71, Issue 1, Page 371-387, January 2026.
Abstract With the digitization of medical information, illegal activities such as medical crimes and insurance fraud through tampering have increased. Medical images are particularly vulnerable due to their nature as soft copies and their transmission over networks.
Sojung Oh, Eunji Lee, Seoyeon Lee, Jaehyun Park, Sihyun Park, Gibum Kim   +5 more
wiley   +1 more source

SupCon-MPL-DP: Supervised Contrastive Learning with Meta Pseudo Labels for Deepfake Image Detection

Applied Sciences
Recently, there has been considerable research on deepfake detection. However, most existing methods face challenges in adapting to the advancements in new generative models within unknown domains.
Kyeong-Hwan Moon, Soo-Yol Ok, Suk-Hwan Lee   +2 more
doaj   +1 more source

Visual Deepfake Detection: Review of Techniques, Tools, Limitations, and Future Prospects

IEEE Access
In recent years, rapid advancements in deepfakes (incorporating Artificial Intelligence (AI), machine, and deep learning) have updated tools and techniques for manipulating multimedia. Though technology has primarily been utilized for beneficial purposes,
Naveed Ur Rehman Ahmed, Afzal Badshah, Hanan Adeel, Ayesha Tajammul, Ali Daud, Tariq Alsahfi   +5 more
doaj   +1 more source

Audio Deepfake Detection: A Survey

, 2023
Audio deepfake detection is an emerging active topic. A growing number of literatures have aimed to study deepfake detection algorithms and achieved effective performance, the problem of which is far from being solved.
Tao, Jianhua, Wang, Chenglong, Yi, Jiangyan, Zhang, Chu Yuan, Zhang, Xiaohui, Zhao, Yan   +5 more
core  

Comprehensive multiparametric analysis of human deepfake speech recognition

EURASIP Journal on Image and Video Processing
In this paper, we undertake a novel two-pronged investigation into the human recognition of deepfake speech, addressing critical gaps in existing research.
Kamil Malinka, Anton Firc, Milan Šalko, Daniel Prudký, Karolína Radačovská, Petr Hanáček   +5 more
doaj   +1 more source

Deepfake Detection Using Deep Learning

International Research Journal on Advanced Engineering Hub (IRJAEH)
Artificial intelligence is being used to create hyper-realistic synthetic media as well as misinformation, identity theft, and fraud. As deepfake techniques become more sophisticated, deepfake detection becomes more crucial. This paper explores the application of deep learning approaches for the detection of deepfakes.
null Dr. B. M Vidyavathi, null Mr. Adnaan Faisal Ahmed, null Ms. Lulu Ayain T, null Ms. Syeda Mehraj Fatima   +3 more
openaire   +1 more source

Threats to conservation from artificial‐intelligence‐generated wildlife images and videos

Conservation Biology, Volume 40, Issue 1, February 2026.
José Guerrero‐Casado, Tamara Murillo‐Jiménez, Antonio J. Carpio, Francisco S. Tortosa, Rocío Serrano‐Rodríguez   +4 more
wiley   +1 more source

Face Forgery Detection and Attribution via Prototype Disentanglement [PDF]

Jisuanji kexue yu tansuo
The detection and attribution of face forgery aims to determine whether a face in an image or video has been manipulated or synthesized using Deepfake techniques, as well as to further analyze the Deepfake method behind it.
QIAN Fei, LI Wei, CHEN Peng, CHEN Haoran, XIE Lipeng, LIU Liyuan
doaj   +1 more source

Does Current Deepfake Audio Detection Model Effectively Detect ALM-Based Deepfake Audio?

2024 IEEE 14th International Symposium on Chinese Spoken Language Processing (ISCSLP)
Currently, Audio Language Models (ALMs) are rapidly advancing due to the developments in large language models and audio neural codecs. These ALMs have significantly lowered the barrier to creating deepfake audio, generating highly realistic and diverse types of deepfake audio, which pose severe threats to society.
Xie, Yuankun, Xiong, Chenxu, Wang, Xiaopeng, Wang, Zhiyong, Lu, Yi, Qi, Xin, Fu, Ruibo, Liu, Yukun, Wen, Zhengqi, Tao, Jianhua, Li, Guanjun, Ye, Long   +11 more
openaire   +2 more sources

A Comparative Analysis of Compression and Transfer Learning Techniques in DeepFake Detection Models

Mathematics
DeepFake detection models play a crucial role in ambient intelligence and smart environments, where systems rely on authentic information for accurate decisions.
Andreas Karathanasis, John Violos, Ioannis Kompatsiaris   +2 more
doaj   +1 more source