Yinhang Zhou

Evaluating Robustness of Large Audio Language Models to Audio Injection: An Empirical Study

Large Audio-Language Models (LALMs) are increasingly deployed in real-world applications, yet their robustness against malicious audio injection remains underexplored. To address this gap, this study systematically evaluates five leading LALMs across four attack scenarios: Audio Interference Attack,