3 papers
cs.CR2026
Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption
Xiang Li, Pin-Yu Chen, Wenqi Wei
Deepfakes have emerged as a widespread and rapidly escalating concern in generative AI, spanning images, audio, and videos. Among these, audio deepfakes are particularly alarming d…
cs.CR2026
Aegis: Towards Governance, Integrity, and Security of AI Voice Agents
Xiang Li, Pin-Yu Chen, Wenqi Wei
With the rapid advancement and adoption of Audio Large Language Models (ALLMs), voice agents are now being deployed in high-stakes domains such as banking, customer service, and IT…
cs.SD2025
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
Xiang Li, Pin-Yu Chen, Wenqi Wei
Recent advances in Text-to-Speech (TTS) and Voice-Conversion (VC) using generative Artificial Intelligence (AI) technology have made it possible to generate high-quality and realis…