Deepfake Detection
PulseAugur coverage of Deepfake Detection — every cluster mentioning Deepfake Detection across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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Audio deepfake model explanations found to be fragile
Researchers have demonstrated that explanations for audio deepfake detection models can be manipulated. By introducing imperceptible perturbations, an adversary can alter the model's attribution heatmaps without changin…
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Deepfake detection research tackles fairness and uncertainty
Two new research papers address challenges in deepfake detection, focusing on fairness and uncertainty quantification. One paper introduces Face-Fairness (FF), a framework that mitigates bias across demographic groups w…
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New AI methods enhance deepfake detection with interpretability and generalization
Researchers are developing advanced methods for detecting deepfakes, particularly in sensitive areas like medical imaging and facial recognition. New approaches focus on interpretability, generalization across different…
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New Omni-Fake dataset benchmarks multimodal deepfake detection on social media
Researchers have introduced Omni-Fake, a new benchmark dataset designed to improve the detection of multimodal deepfakes on social media. The dataset includes over 1 million samples across image, audio, video, and audio…
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Reality Defender launches RealAPI for scalable deepfake and GenAI detection
Reality Defender has launched RealAPI, a new service designed to help developers integrate deepfake and generative AI detection into their applications. The API offers capabilities for identifying manipulated images, au…