Results 41 to 50 of about 2,785,599 (172)

Phantom citations: An empirical study of non‐existent and unverifiable references in scholarly literature

Journal of the Association for Information Science and Technology, Volume 77, Issue 10, Page 1287-1316, October 2026.
Abstract The integrity of scholarly communication depends critically on the accuracy and verifiability of cited references. Citations enable readers to trace prior work, assess evidence, and situate new contributions within the existing literature. However, concerns have emerged regarding the presence of references in published papers that cannot be ...
Chengcheng Han, Sathiamoorthy Manoharan, Xinfeng Ye, Ulrich Speidel   +3 more
wiley   +1 more source

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies [PDF]

peer reviewedThis paper proposes an audio-visual deepfake detection approach that aims to capture fine-grained temporal inconsistencies between audio and visual modalities.
ASTRID, Marcella, GHORBEL, Enjie, AOUADA, Djamila   +2 more
core   +1 more source

Coexistence of Deepfake Defenses: Addressing the Poisoning Challenge

IEEE Access
As Generative Adversarial Networks advance, deepfakes have become increasingly realistic, thereby escalating societal, economic, and political threats. In confronting these heightened risks, the research community has identified two promising defensive ...
Jaewoo Park, Leo Hyun Park, Hong Eun Ahn, Taekyoung Kwon   +3 more
doaj   +1 more source

Familiarity With Famous Faces and the Detection of AI‐Generated Images

Applied Cognitive Psychology, Volume 40, Issue 5, September/October 2026.
ABSTRACT Artificial intelligence tools can generate face images that are indistinguishable from real photographs. This finding extends to familiar faces, where prior familiarity provides only limited improvements in detecting synthetic images. Here, we investigated whether familiarity benefits detection across multiple images of individual famous faces.
Robin S. S. Kramer, Meg R. Underwood
wiley   +1 more source

Explainable deepfake detection: A multi-model framework with human-interpretable rationales for legal investigation purposes

Machine Learning with Applications
The growing spread of deepfake images, combined with the sophistication of machine learning tools and techniques used to produce them, pose serious threats to the integrity of information, individual privacy, and the preservation of public trust.
Nitu Bharati, Patrick Wong, Soraya Kouadri Mostéfaoui, Dhouha Kbaier, Jan Collie   +4 more
doaj   +1 more source

Imagination Will Not Be Automized: On AI Image Generators and Epistemic Oppression

Constellations, EarlyView.
Sarah Abel
wiley   +1 more source

Vernacular Futurism: How Persian Language Users Imagine AI

AI &Innovation, Volume 1, Issue 2, September 2026.
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley   +1 more source

Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI

AI &Innovation, Volume 1, Issue 2, September 2026.
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley   +1 more source

Enhancing deepfake detection with Adaptive-DCGAN and Lite-CNN: a novel approach to image classification

Discover Applied Sciences
The rapid advancement of digital content generation technologies has led to the proliferation of deepfake media, posing significant security and privacy risks on social networks.
Deepa Javiya, Gordhan Jethava, Himani Parmar, Sweta Jethava   +3 more
doaj   +1 more source

Artificial rabbits optimization with transfer learning based deepfake detection model for biometric applications

Ain Shams Engineering Journal
Deepfake detection is a significant area of research in biometric applications, as it is essential to ensure the integrity and authenticity of biometric information.
Sana Alazwari, Marwa Obayya Jamal Alsamri, Mohammad Alamgeer, Rana Alabdan, Ibrahim Alzahrani, Mohammed Rizwanullah, Azza Elneil Osman   +6 more
doaj   +1 more source