5 papers
DuRe-ST: Dual-Relation Spectro-Temporal Modeling for Speech Deepfake Detection
Shaole Li, Siqing Qin, Youzhi Tu +1
Previous speech deepfake detectors can adaptively capture spectro-temporal dependencies through graph attention, yet they largely overlook the co-variation between spectral and tem…
Source-Directed Trajectory Perturbation at First-Order Cost for Domain Generalization in Speech Deepfake Detection
Siqing Qin, Kong Aik Lee, Youzhi Tu
Speech deepfake detectors often lose accuracy when the distribution of the test data differs from that of the training data. Meta-learning for domain generalization (MLDG) shows pr…
Learning as Deepfakes Evolve: RF-Prompt for Continual Audio Deepfake Detection
Yuankun Xie, Xiaoxuan Guo, Xiaopeng Wang +3
Continual audio deepfake detection requires learning newly emerging deepfake methods while retaining discrimination of previously encountered speech. Existing dataset-incremental e…
Domain-Adaptive Dual-Gating Mixture of Experts for Generalizable Speech Deepfake Detection
Siqing Qin, Zhe Li, Kong Aik Lee +1
Recent advances in speech deepfake detection (SDD) have leveraged the Mixture of Experts (MoE) to enhance generalization capacity. However, existing gating networks often overlook…
DGS-MLDG: Domain Gradient Surgery Guided Meta-Learning for Domain Generalization in Speech Deepfake Detection
Siqing Qin, Kong Aik Lee, Youzhi Tu +2
Speech deepfake detection faces significant challenges due to domain shifts. Domain generalization (DG), particularly meta-learning for domain generalization (MLDG), offers a promi…