Results 101 to 110 of about 6,210 (184)

Human Performance in Deepfake Detection: A Systematic Review

Human Behavior and Emerging Technologies
Deepfakes refer to a wide range of computer-generated synthetic media, in which a person’s appearance or likeness is altered to resemble that of another.
Klaire Somoray, Dan J. Miller, Mary Holmes   +2 more
doaj   +1 more source

Ensemble-Based Biometric Verification: Defending Against Multi-Strategy Deepfake Image Generation

Computers
Deepfake images, synthetic images created using digital software, continue to present a serious threat to online platforms. This is especially relevant for biometric verification systems, as deepfakes that attempt to bypass such measures increase the ...
Hilary Zen, Rohan Wagh, Miguel Wanderley, Gustavo Bicalho, Rachel Park, Megan Sun, Rafael Palacios, Lucas Carvalho, Guilherme Rinaldo, Amar Gupta   +9 more
doaj   +1 more source

Deepfake DEEPFAKE AND AI-GENERATED IMAGE DETECTION SYSTEM

International Journal For Multidisciplinary Research
The rapid advancement of deep learning and gen- erative artificial intelligence (AI) has led to the proliferation of deepfake and AI-generated images, posing significant challenges to digital media integrity, security, and trust. These technologies, while beneficial in creative and entertainment domains, have also been exploited for malicious purposes,
Iskand Wadhwa, Yash Choudhary, Prerna Chauhan, Anjali Singh, Sambit Sathua, Shaffy Bains   +5 more
openaire   +1 more source

A Multifaceted Deepfake Prevention Framework Integrating Blockchain, Post-Quantum Cryptography, Hybrid Watermarking, Human Oversight, and Policy Governance

Computers
Deepfake technology, driven by advances in artificial intelligence (AI) and deep learning (DL), has become one of the foremost threats to digital trust and the authenticity of information.
Mohammad Alkhatib
doaj   +1 more source

1M-Deepfakes Detection Challenge

Proceedings of the 32nd ACM International Conference on Multimedia
The detection and localization of deepfake content, particularly when small fake segments are seamlessly mixed with real videos, remains a significant challenge in the field of digital media security. Based on the recently released AV-Deepfake1M dataset, which contains more than 1 million manipulated videos across more than 2,000 subjects, we introduce
Zhixi Cai, Abhinav Dhall, Shreya Ghosh, Munawar Hayat, Dimitrios Kollias, Kalin Stefanov, Usman Tariq   +6 more
openaire   +2 more sources

A Unified Neural Framework for Real-Time Deepfake Detection Across Multimedia Modalities to Combat Misleading Content

IEEE Access
The rise of deepfake technology poses significant threats to the authenticity of content on social media. This research introduces Sach-AI, a pioneering framework for detecting various deepfakes in video, audio, and image data.
Ayan Sar, Subhangi Sati, Tanupriya Choudhury, Purvika Joshi, Roohi Sille, K. Srihari, Kritika Bansal   +6 more
doaj   +1 more source

Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks [PDF]

Deepfake detection aims to contrast the spread of deep-generated media that undermines trust in online content. While existing methods focus on large and complex models the need for real-time detection demands greater efficiency. With this in mind unlike
Anxhelo Diko, Federico Fontana, Luigi Cinque, Marco Raoul Marini, Romeo Lanzino   +4 more
core  

Deepfake detection with and without content warnings. [PDF]

R Soc Open Sci, 2023
Lewis A, Vu P, Duch RM, Chowdhury A.
europepmc   +1 more source

Deepfake Detection and Analysis Using Fusion Model [PDF]

In today's digital era, deepfake technology presents both innovation and peril, with hyper-realistic synthetic media capable of widespread deception. This research delves into deepfake detection, focusing two deepfake detection models, namely, the VIT ...
Aditya Yadav, Devang Mulye, Parakh Pawar, Poornima S   +3 more
core   +1 more source

A Robust Approach to Multimodal Deepfake Detection. [PDF]

J Imaging, 2023
Salvi D, Liu H, Mandelli S, Bestagini P, Zhou W, Zhang W, Tubaro S.   +6 more
europepmc   +1 more source