Author

Xue-Yao Zhang

2 papers indexed here

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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 Jan 2026

VoxPrivacy: A Benchmark for Evaluating Interactional Privacy of Speech Language Models

The VoxPrivacy benchmark, the large-scale training set, the fine-tuned model to foster the development of safer and more context-aware SLMs, and a viable path forward are demonstrated: by fine-tuning on a new 4,000-hour training set, improve privacy-preserving abilities while maintaining robustness.

Yu-Xiang Wang, Hongyu Liu, De-Kun Chen et al. · arXiv.org · 5 citations · ⚡1