Tag: AI deepfake detection
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Detect Partial Deepfake Speech with Split-and-Conquer Method
Discover a novel split-and-conquer framework that improves detection of partial deepfake speech using boundary detection and segment classification.
TRACE: Training-Free Partial Audio Deepfake Detection
Discover TRACE, a training-free method detecting partial audio deepfakes via embedding trajectory analysis in speech models. No labeled data needed.
CIPHER: Advanced Deepfake Detection for Synthetic Images
Discover CIPHER, a robust framework using GAN discriminators to detect deepfake images with high accuracy across multiple generative models.
AFSS: Bias-Free Audio Deepfake Detection with Artifact Focus
Discover AFSS, a novel method that reduces bias and boosts accuracy in audio deepfake detection by focusing on generation artifacts and same-speaker constr...
Boost Deepfake Audio Detection with Neuron Dropin & Plasticity
Improve deepfake audio detection accuracy and efficiency using neuron-level dropin and neuroplasticity mechanisms that reduce error rates and computation.