Guarding Integrated Speech and Large Language Models: Assessing Safety and Mitigating Adversarial Threats

Recently, there’s been a surge in the adoption of Integrated Speech and Large Language Models (SLMs), which can understand spoken commands and generate relevant text responses. However, concerns linger regarding their safety and robustness. LLMs, with their extensive capabilities, raise the need to address potential harm and guard against misuse by malicious users. Although developers […]

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