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Papers on Audio Deepfake Detection #4
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Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models |
Enhancing Generalization in Audio Deepfake Detection: A Neural Collapse based Sampling and Training Approach |
Exploring Green AI for Audio Deepfake Detection |
Retrieval-Augmented Audio Deepfake Detection |
Cross-Domain Audio Deepfake Detection: Dataset and Analysis |
CtrSVDD: A Benchmark Dataset and Baseline Analysis for Controlled Singing Voice Deepfake Detection |
Harder or Different? Understanding Generalization of Audio Deepfake Detection |
RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection |
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake Detection |
Targeted Augmented Data for Audio Deepfake Detection |
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection |
Contextual Cross-Modal Attention for Audio-Visual Deepfake Detection and Localization |
ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild |
WavLM model ensemble for audio deepfake detection |
Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge |
Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio? |
Easy, Interpretable, Effective: openSMILE for voice deepfake detection |
SVDD 2024: The Inaugural Singing Voice Deepfake Detection Challenge |
Exploring WavLM Back-ends for Speech Spoofing and Deepfake Detection |
I Can Hear You: Selective Robust Training for Deepfake Audio Detection |
Toward Transdisciplinary Approaches to Audio Deepfake Discernment |
Comparative Analysis of ASR Methods for Speech Deepfake Detection |
Reject Threshold Adaptation for Open-Set Model Attribution of Deepfake Audio |
CodecFake-Omni: A Large-Scale Codec-based Deepfake Speech Dataset |
Vision Graph Non-Contrastive Learning for Audio Deepfake Detection with Limited Labels |
Transferable Adversarial Attacks on Audio Deepfake Detection |
What Does an Audio Deepfake Detector Focus on? A Study in the Time Domain |
DIN-CTS: Low-Complexity Depthwise-Inception Neural Network with Contrastive Training Strategy for Deepfake Speech Detection |
Measuring the Robustness of Audio Deepfake Detectors |
Every Breath You Don't Take: Deepfake Speech Detection Using Breath
https://arxiv.org/abs/2404.15143
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