Hiding in Plain Text: Detecting Concealed Jailbreaks via Activation Disentanglement | ScienceToStartup | ScienceToStartup

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References (36)

[1]

JBShield: Defending Large Language Models from Jailbreak Attacks through Activated Concept Analysis and Manipulation

2025Shenyi Zhang, Yuchen Zhai et al.

[2]

Layer by Layer: Uncovering Hidden Representations in Language Models

2025Oscar Skean, Md Rifat Arefin et al.

[3]

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy

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"Detect concealed jailbreaks in large language models through semantic disentanglement for enhanced LLM safety."

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Hiding in Plain Text: Detecting Concealed Jailbreaks via Activation Disentanglement

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References (36)

Founder's Pitch

"Detect concealed jailbreaks in large language models through semantic disentanglement for enhanced LLM safety."

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Hiding in Plain Text: Detecting Concealed Jailbreaks via Activation Disentanglement

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References (36)

Founder's Pitch

"Detect concealed jailbreaks in large language models through semantic disentanglement for enhanced LLM safety."

Commercial Viability Breakdown

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