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: 9 August 2026
Source: HuggingFace Daily Papers
Category: Research
Topics: Safety & alignment
Retrieved: 15 August 2026
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How to cite this record
ethics.ai (9 August 2026), “From Inaudible Inputs to Model Failures: Low-Frequency Safety Risks in LALMs,” evidence record 19504, https://ethics.ai/record/19504 (originally published by HuggingFace Daily Papers).
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