GenD achieves state-of-the-art average cross-dataset AUROC in deepfake detection by parameter-efficient adaptation of a foundational vision encoder with hyperspherical manifold enforcement via L2 normalization and metric learning.
Unmasking illusions: Under- standing human perception of audiovisual deepfakes
4 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
Survey of European secondary students identifies a confidence-competence gap in digital literacy and AI skills, with Dunning-Kruger effects, conditional gender differences, and an AI paradox.
People show little ability to distinguish AI-generated from human-written health advice in online communities, with detection varying by health condition and unreliable heuristics.
An experiment shows humans detect fully synthetic speech below chance but exhibit implicit discrimination via quality ratings in a localization task with trust cue manipulations.
citing papers explorer
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Deepfake Detection that Generalizes Across Benchmarks
GenD achieves state-of-the-art average cross-dataset AUROC in deepfake detection by parameter-efficient adaptation of a foundational vision encoder with hyperspherical manifold enforcement via L2 normalization and metric learning.
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The Illusion of Competence: Self-Perceived Digital Literacy and AI Readiness Among European Secondary Students
Survey of European secondary students identifies a confidence-competence gap in digital literacy and AI skills, with Dunning-Kruger effects, conditional gender differences, and an AI paradox.
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Discerning Authorship in Online Health Communities: Experience, Trust, and Transparency Implications for Moderating AI
People show little ability to distinguish AI-generated from human-written health advice in online communities, with detection varying by health condition and unreliable heuristics.
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I Hear, Therefore I Trust: A Socio-Technical Investigation of Humans as Synthetic Speech Detectors
An experiment shows humans detect fully synthetic speech below chance but exhibit implicit discrimination via quality ratings in a localization task with trust cue manipulations.