From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs
Large audio-language models (LALMs) have demonstrated strong capabilities in understanding diverse audio inputs. This diversity includes low-frequency signals that are inaudible to humans but can still enter the model and influence its generation. However, the practical impact of such low-frequency inputs on LALMs remains largely unexplored. In this paper, we propose Intermittent Low-Frequency Lockout (ILL), an inaudible red teaming method that evaluates this risk using a universal waveform temp
Record details
Published: 10 August 2026
Source: arXiv red teaming query
Category: Research
Topics: Safety & alignment
Retrieved: 11 August 2026
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How to cite this record
ethics.ai (10 August 2026), “From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs,” evidence record 18312, https://ethics.ai/record/18312 (originally published by arXiv red teaming query).
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