Young-Han Lee

ToolDF: Tool-Integrated Reasoning for Mixed-Authenticity Audio Deepfake Detection

This work proposes ToolDF, a tool-integrated reasoning framework for mixed-authenticity audio deepfake detection that employs an audio large language model as an orchestrator trained with supervised tool-use trajectories and introduces a mixed-authenticity ADD benchmark covering temporal transitions, acoustic overlaps,...