Results 101 to 110 of about 6,771 (199)

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

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  

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

Deepfake tweets automatic detection

CoRR
This study addresses the critical challenge of detecting DeepFake tweets by leveraging advanced natural language processing (NLP) techniques to distinguish between genuine and AI-generated texts. Given the increasing prevalence of misinformation, our research utilizes the TweepFake dataset to train and evaluate various machine learning models.
Adam Frej, Adrian Kaminski, Piotr Marciniak, Szymon Szmajdzinski, Soveatin Kuntur, Anna Wróblewska   +5 more
openaire   +2 more sources

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

A Multimodal Framework for Deepfake Detection

Journal of Electrical Systems
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 misinformation, fraud, and severe implications for personal privacy and security.
Kashish Gandhi, Prutha Kulkarni, Taran Shah, Piyush Chaudhari, Meera Narvekar, Kranti Ghag   +5 more
openaire   +2 more sources

Real time detection of deepfakes using the efficient Swin attention network with global and local facial features

Discover Artificial Intelligence
The rapid advancement of deepfake generation techniques has exposed critical limitations in existing deepfake detection methods, particularly their inability to simultaneously achieve high detection accuracy and real-time efficiency across diverse ...
Muhammad Javed, Dezhi Han, Fida Hussain Dahri, Teerath Kumar, Jameel Ahmed Bhutto, Ashfaque Khowaja   +5 more
doaj   +1 more source

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

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 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