arXiv AI
Do Compact SSL Backbones Matter for Audio Deepfake Detection? A Controlled Study with RAPTOR
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arXiv AI
Jun 10
Dual-Branch Gated Fusion for Open-Set Audio Deepfake Source Tracing
arXiv:2606. 10223v1 Announce Type: cross Abstract: Attributing a synthetic utterance to its originating system remains an open challenge: closed-set models fail to reject unseen synthesizers and produce overconfident predictions.
arXiv AI
Sep 18
CoRELoop: Parameter-Efficient Controlled Recurrent Refinement for Audio Deepfake Detection
CoRELoop introduces a parameter‑efficient refinement framework for audio deepfake detection that operates on a pre‑trained SSL‑based detector without altering its original parameters. By adapting recurrent inputs, controlling state updates, and aligning refined outputs with the frozen classifier, CoRELoop adds lightweight refinement modules and low‑rank adapters, achieving a pooled equal error rate reduction from 4.85% to 3.74% on 14 cross‑domain test sets with only about 10 M trainable parameters. An optional halting head further optimizes performance, reaching 3.73% pooled EER with an average of 1.18 passes.
arXiv AI
Sep 21
CoReLoop: Parameter-Efficient Controlled Recurrent Refinement for Audio Deepfake Detection
CoReLoop introduces a parameter‑efficient refinement strategy for audio deepfake detection that reuses a frozen SSL‑based detector’s encoder outputs without altering its original parameters. By adapting recurrent inputs, controlling state updates, and aligning refined outputs with the frozen classifier, the method adds lightweight refinement modules and low‑rank adapters trained on the original data. On 14 cross‑domain test sets, the 24‑layer model reduces pooled equal error rate from 4.85% to 3.74% with two passes, and an optional halting head further improves performance to 3.73% with an average of 1.18 passes.
arXiv AI
Sep 15
CRAF: Cross-View Residual-Aware Fusion for Deepfake Speech Detection
arXiv:2609.13842v1 Announce Type: cross Abstract: Recent advances in speech synthesis and voice conversion have made deepfake speech increasingly realistic, making generalization to unseen spoofing a...
arXiv AI
Jun 30
Proteus: Automated Adversarial Robustness Testing for Audio Deepfake Detectors
arXiv:2606. 29544v1 Announce Type: cross Abstract: We present Proteus, a framework developed at Resemble AI for automated robustness testing of our audio deepfake detection system.
arXiv Machine Learning
Aug 17
Trajectory Dynamics in Self-Supervised Learning Latent Space for Audio Deepfake Detection
arXiv:2608. 13817v1 Announce Type: cross Abstract: Human speech production is constrained by physiology, giving rise to characteristic temporal structure on acoustic signals.