Author

Li Wang

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Preprint Sep 2026

GenTraceBench: A Benchmark for Tracing Audio Deepfakes Across Pre- and Post-training Stages

Modern text-to-speech (TTS) systems are rarely deployed as unchanged pre-trained models. They are often adapted through supervised fine-tuning (SFT) or preference optimization such as DPO and GRPO. This raises a practical question for audio deepfake forensics: do fingerprints learned from a foundation generator remain...

Li Wang, Kun-Yu Feng, Wan Lin et al. · 0 citations

#artificial intelligence Preprint Sep 2026

CoReLoop: Parameter-Efficient Controlled Recurrent Refinement for Audio Deepfake Detection

CoReLoop is proposed, which enables controlled recurrent refinement through loop-specific LoRA and lightweight modules that adapt recurrent inputs, regulate state updates, and align refined representations with the frozen classifier.

Kun-Yu Feng, Yu-Xiang Wang, Li Wang et al. · 2 citations

Jul 2026

Teffic-Audio: Tell Fact from Fiction

Tffic-Audio is presented, a general speech deepfake detection system designed for comprehensive evaluation environment that achieves a pooled EER of 1.454% on the 14 test sets of Speech-DF-Arena, outperforming all currently public systems on the leaderboard.

Wan Lin, Li Wang, Jin-Dong Wang et al. · arXiv.org · 1 citation