2026
AudioTrust: Benchmarking The Multifaceted Trustworthiness of Audio Large Language Models
ICLR 2026poster
The rapid development and widespread adoption of Audio Large Language Models (ALLMs) require a rigorous assessment of their trustworthiness. However, existing evaluation frameworks, primarily designed for text, are not equipped to handle the unique vulnerabilities introduced by audio’s acoustic prop…