Results 81 to 90 of about 12,433 (211)

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

open access: yesComputers
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   +9 more
doaj   +1 more source

The Other Side of the Stethoscope: Clinician‐Facing Deepfakes and the Symmetry of Synthetic Deception

open access: yesJournal of Evaluation in Clinical Practice, Volume 32, Issue 5, August 2026.
ABSTRACT Background Clinical ethics scholarship on deepfakes has focused primarily on patients as targets of synthetic deception, in which fabricated audiovisual material alters patient beliefs about clinicians and care. This focus neglects the reverse epistemic vulnerability: clinicians themselves as recipients of synthetic, adversarially generated ...
George Rugare Chingarande
wiley   +1 more source

Enhancing multimodal deepfake detection with local–global feature integration and diffusion models

open access: yesSignal, Image and Video Processing
Deepfake detection has become a critical challenge nowadays with the rise of sophisticated generative techniques that manipulate audio-visual data. Existing methods primarily focus on lip movement synchronization using audio and visual features, often ...
Muhammad Javed   +3 more
semanticscholar   +1 more source

Deepfake y desinformación –¿Qué puede hacer el derecho frente a las noticias falsas creadas por deepfake?

open access: yesIDP
Este artículo explora la relación entre deepfake y fake news a través de la lente del derecho. Se divide en tres partes conceptuales principales: en primer lugar, se examina la base teórica, a continuación, se explora la relación entre desinformación y ...
Gergely Ferenc Lendvai   +1 more
doaj   +1 more source

Why Are Consumers Ambivalent About AI‐Generated Images? The Moderating Role of Commercial Versus Noncommercial Content Type

open access: yesJournal of Consumer Behaviour, Volume 25, Issue 4, Page 1857-1876, July 2026.
ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee   +3 more
wiley   +1 more source

(Dis)information Systems: a Systemic View of Disinformation

open access: yesSystems Research and Behavioral Science, Volume 43, Issue 4, Page 1560-1575, July/August 2026.
ABSTRACT Disinformation is an ancient social phenomenon that has found a favourable environment for dissemination in internet‐based social networks. While the scientific community seeks to address the problem by creating specific tools to detect and classify the various types of false information, we argue that systems thinking is necessary to ...
Herbert Laroca   +2 more
wiley   +1 more source

AI Anomaly-Based Deepfake Detection Using Customized Mahalanobis Distance and Head Pose with Facial Landmarks

open access: yesApplied Sciences
The development of artificial intelligence has inevitably led to the growth of deepfake images, videos, human voices, etc. Deepfake detection is mandatory, especially when used for unethical and illegal purposes.
Cosmina-Mihaela Rosca, Adrian Stancu
doaj   +1 more source

Privacy as a Defense Against Premature Representation

open access: yes
Journal of Social Philosophy, EarlyView.
Jordan Wallace‐Wolf
wiley   +1 more source

Generative Artificial Intelligence and the Evolving Challenge of Deepfake Detection: A Systematic Analysis

open access: yesJ. Sens. Actuator Networks
Deepfake technology, which employs advanced generative artificial intelligence to create hyper-realistic synthetic media, poses significant challenges across various sectors, including security, entertainment, and education.
Reza Babaei   +3 more
semanticscholar   +1 more source

A destructive active defense algorithm for deepfake face images [PDF]

open access: yesPeerJ Computer Science
The harm caused by deepfake face images is increasing. To proactively defend against this threat, this paper innovatively proposes a destructive active defense algorithm for deepfake face images (DADFI).
Yang Yang   +4 more
doaj   +2 more sources

Home - About - Disclaimer - Privacy