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Updated 7/21/2026, database is current

Language Model Security Database

959 research findings · 1077 evaluated models

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Matches every word across titles, descriptions, sources, affected systems, and models.

Adversarial Speech Jailbreak

Updated 12/29/2024

Multimodal Large Language Models (LLMs) processing speech input are vulnerable to adversarial attacks. Imperceptible perturbations added to audio input can cause the model to generate unsafe or harmful text responses, overriding built-in safety mechanisms. The attacks are effective even with limited knowledge of the model's internal workings, demonstrating transferability across different models.

SpeechGuard: Exploring the adversarial robustness of multimodal large language models
Affects: Flan-T5 XL, Llama 7B, Llama 2 13B Chat +2 more

Source: arXiv

Model layer
Jailbreak
Injection
Multimodal

Research methodology

Entries summarize publicly available primary-source security research. Model names reflect only systems explicitly evaluated by the cited paper, and measurements are research-reported unless independent verification is stated.