Results 91 to 100 of about 6,210 (184)

EEG-features for generalized deepfake detection [PDF]

Since the advent of Deepfakes in digital media, the development of robust and reliable detection mechanism is urgently called for. In this study, we explore a novel approach to Deepfake detection by utilizing electroencephalography (EEG) measured from ...
Beckmann, A., Bosse, S., Chen, Y., Eisert, P., Gaebler, M. , Hilsmann, A., Hofmann, S. , Klotzsche, F. , Nikulin, V. , Stephani, T. , Villringer, A.   +10 more
core   +1 more source

An Investigation into the Utilisation of CNN with LSTM for Video Deepfake Detection

Applied Sciences
Video deepfake detection has emerged as a critical field within the broader domain of digital technologies driven by the rapid proliferation of AI-generated media and the increasing threat of its misuse for deception and misinformation.
Sarah Tipper, Hany F. Atlam, Harjinder Singh Lallie   +2 more
doaj   +1 more source

DeePhy: On Deepfake Phylogeny

, 2022
Deepfake refers to tailored and synthetically generated videos which are now prevalent and spreading on a large scale, threatening the trustworthiness of the information available online. While existing datasets contain different kinds of deepfakes which
Agarwal, Harsh, Mittal, Surbhi, Narayan, Kartik, Singh, Richa, Thakral, Kartik, Vatsa, Mayank   +5 more
core  

MIS-AVoiDD: Modality Invariant and Specific Representation for Audio-Visual Deepfake Detection

, 2023
Deepfakes are synthetic media generated using deep generative algorithms and have posed a severe societal and political threat. Apart from facial manipulation and synthetic voice, recently, a novel kind of deepfakes has emerged with either audio or ...
Katamneni, Vinaya Sree, Rattani, Ajita
core  

Neural Network Ensemble Method for Deepfake Classification Using Golden Frame Selection

Big Data and Cognitive Computing
Deepfake technology poses significant threats in various domains, including politics, cybersecurity, and social media. This study uses the golden frame selection technique to present a neural network ensemble method for deepfake classification.
Khrystyna Lipianina-Honcharenko, Nazar Melnyk, Andriy Ivasechko, Mykola Telka, Oleg Illiashenko   +4 more
doaj   +1 more source

Deepfake detection: critical review of state-of-the-art approaches and future perspectives

Discover Applied Sciences
In recent years, the advancement of technology, particularly in domains such as AI, machine learning, and deep learning, has fostered the development of novel tools for altering visual media, including images, audios, and videos.
B. C. Soundarya, H. L. Gururaj
doaj   +1 more source

Speech DF Arena: A Leaderboard for Speech DeepFake Detection Models

IEEE Open Journal of Signal Processing
Parallel to the development of advanced deepfake audio generation, audio deepfake detection has also seen significant progress. However, a standardized and comprehensive benchmark is still missing. To address this, we introduce Speech DeepFake (DF) Arena,
Sandipana Dowerah, Atharva Kulkarni, Ajinkya Kulkarni, Hoan My Tran, Joonas Kalda, Artem Fedorchenko, Benoit Fauve, Damien Lolive, Tanel Alumae, Mathew Magimai.-Doss   +9 more
doaj   +1 more source

Deepfakes Detection System

INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
ABSTRACT Deepfake detection systems have become critical in combating the growing misuse of synthetic media, which leverages advanced AI techniques to manipulate video, audio, and images. These systems aim to identify and differentiate genuine content from altered or artificially generated media by employing various machine learning and deep ...
openaire   +1 more source

A Comprehensive Evaluation of Deepfake Detection Methods: Approaches, Challenges and Future Prospects [PDF]

ITM Web of Conferences
Advances in technology have made deepfake forgeries easier, posing serious ethical and security risks that highlight the urgent need for better detection methods.
Hu Xixi
doaj   +1 more source

DeepFake-o-meter v2.0: An Open Platform for DeepFake Detection

2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR)
Deepfakes, as AI-generated media, have increasingly threatened media integrity and personal privacy with realistic yet fake digital content. In this work, we introduce an open-source and user-friendly online platform, DeepFake-O-Meter v2.0, that integrates state-of-the-art methods for detecting Deepfake images, videos, and audio.
Ju, Yan, Sun, Chengzhe, Jia, Shan, Hou, Shuwei, Si, Zhaofeng, Datta, Soumyya Kanti, Ke, Lipeng, Zhou, Riky, Nikolich, Anita, Lyu, Siwei   +9 more
openaire   +2 more sources