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papersTODAY 04:00 UTC

Language Model Priors Used for Acoustic Adversarial Attacks on ASR

A new arXiv paper examines how language model priors can be leveraged to craft acoustic adversarial attacks against automatic speech recognition systems. It focuses on real-time ASR, where transcription decisions must be made under strict temporal limits using incomplete audio input. The work suggests that this causal constraint creates an exploitable vulnerability in streaming recognition pipelines.

adversarial-attacks/speech-recognition/language-models/safety