Hearing the Unspoken: Language Model Priors for Acoustic Adversarial Attacks
Signal
72
Hype
35
In three linesA new 'Semantic Gambit' adversarial attack exploits language model priors to bypass causal constraints in real-time ASR systems. By augmenting the adversary with predictive LLM context, researchers elevate Word Error Rate to 35.6% — a three-fold increase over state-of-the-art.Read source
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