Results 11 to 20 of about 8,150 (174)

Multi-label Deepfake Classification [PDF]

, 2023
peer reviewedIn this paper, we investigate the suitability of current multi-label classification approaches for deepfake detection. With the recent advances in generative modeling, new deepfake detection methods have been proposed.
NGUYEN, van Dat, Ghorbel, Enjie, AOUADA, Djamila, SINGH, Inder Pal, MEJRI, Nesryne   +4 more
core   +1 more source

UNTAG: Learning Generic Features for Unsupervised Type-Agnostic Deepfake Detection [PDF]

, 2023
peer reviewedThis paper introduces a novel framework for unsupervised type-agnostic deepfake detection called UNTAG. Existing methods are generally trained in a supervised manner at the classification level, focusing on detecting at most two types of ...
GHORBEL, Enjie, AOUADA, Djamila, MEJRI, Nesryne   +2 more
core   +1 more source

Deepfake Face Generation Techniques Based on Generative Adversarial Networks [PDF]

ITM Web of Conferences
With the continuous rise of deepfake technology in recent years, deepfake face generation technology has gradually become a popular technology in the field of computer vision.
Pi Yonghe
doaj   +1 more source

Deepfake detection with and without content warnings

Royal Society Open Science, 2023
The rapid advancement of ‘deepfake' video technology—which uses deep learning artificial intelligence algorithms to create fake videos that look real—has given urgency to the question of how policymakers and technology companies should moderate ...
Andrew Lewis, Patrick Vu, Raymond M. Duch, Areeq Chowdhury   +3 more
doaj   +1 more source

Deepfake attack prevention using steganography GANs [PDF]

PeerJ Computer Science, 2022
Background Deepfakes are fake images or videos generated by deep learning algorithms. Ongoing progress in deep learning techniques like auto-encoders and generative adversarial networks (GANs) is approaching a level that makes deepfake detection ideally ...
Iram Noreen, Muhammad Shahid Muneer, Saira Gillani   +2 more
doaj   +2 more sources

DeepFake on Face and Expression Swap: A Review

IEEE Access, 2023
Remarkable advances have been made in deep learning, leading to the emergence of highly realistic AI-generated videos known as deepfakes. Deepfakes use generative models to manipulate facial features to create modified identities or expressions with ...
Saima Waseem, Syed Abdul Rahman Syed Abu Bakar, Bilal Ashfaq Ahmed, Zaid Omar, Taiseer Abdalla Elfadil Eisa, Mhassen Elnour Elneel Dalam   +5 more
doaj   +1 more source

The weapon of deception: analyzing the effects of deepfake in the digital world [PDF]

, 2022
openI nuovi sviluppi digitali stanno creando la possibilità di rendere sempre più indistinguibili tra di loro i contenuti falsi da quelli reali. La nuova tecnologia che sta contribuendo ad alimentare questo problema è il deepfake, che genera video ...
LUPO, MARTINA
core  

Deepfake as an Advanced Manipulative Technique for Spreading Propaganda

, 2023
The article describes the basic foundations and significance of the manipulative technique called Deepfake, which in the environment of technological and informational expansion is also becoming a widely used tool for spreading propaganda.
Martin Havlík
core   +1 more source

FDS_2D: rethinking magnitude-phase features for DeepFake detection

, 2023
To reduce the harm of forged information, more and more detection methods use frequency domain information. They mostly take spectra as clues to identify fake content. However, the current work tends to use only one of the magnitude and phase spectra for
Fang, Xianjin, Yang, Gaoming, Zhang, Ji, Wei, Anxing, Gaoming Yang, Anxing Wei, Xianjin Fang, Ji Zhang   +7 more
core   +1 more source

Deepfake technológia irányai és felismerése

, 2022
A deepfake videók évekkel ezelőtt kezdtek el terjedni a világhálón, ma már a felismerhetetlenségig fejlődött a technológia. A szórakoztatásra szánt deepfake képek és videók olykor veszélyesek is lehetnek.
Éles, Effi
core