On Optimizing Multimodal Jailbreaks for Spoken Language Models | ScienceToStartup | ScienceToStartup

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References (30)

[1]

The Alignment Curse: Cross-Modality Jailbreak Transfer in Omni-Models

2026Yupeng Chen, Junchi Yu et al.

[2]

Speech-Audio Compositional Attacks on Multimodal LLMs and Their Mitigation with SALMONN-Guard

2025Yudong Yang, Xuezhen Zhang et al.

[3]

Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models

Founder's Pitch

"Develops a novel multimodal attack framework to identify and exploit vulnerabilities in spoken language models, enabling more robust AI safety solutions."

AI Safety•Score: 7•View PDF ↗

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On Optimizing Multimodal Jailbreaks for Spoken Language Models

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References (30)

Founder's Pitch

"Develops a novel multimodal attack framework to identify and exploit vulnerabilities in spoken language models, enabling more robust AI safety solutions."

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On Optimizing Multimodal Jailbreaks for Spoken Language Models

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References (30)

Founder's Pitch

"Develops a novel multimodal attack framework to identify and exploit vulnerabilities in spoken language models, enabling more robust AI safety solutions."

Commercial Viability Breakdown

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