Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search | ScienceToStartup | ScienceToStartup

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References (55)

[1]

Measuring What Matters: A Framework for Evaluating Safety Risks in Real-World LLM Applications

2025Jia Yi Goh, Shaun Khoo et al.

[2]

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

2025Gheorghe Comanici, Eric Bieber et al.

[3]

Breaking the Ceiling: Exploring the Potential of Jailbreak Attacks through Expanding Strategy Space

Founder's Pitch

"Exploit weaknesses in LLMs with classical Chinese prompts using an optimization framework for more effective jailbreak attacks."

LLM Security•Score: 6•View PDF ↗

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0-10 scale

High Potential

2/4 signals

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3/4 signals

7.5

Series A Potential

1/4 signals

2.5

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Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search

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References (55)

Founder's Pitch

"Exploit weaknesses in LLMs with classical Chinese prompts using an optimization framework for more effective jailbreak attacks."

Commercial Viability Breakdown

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Why It Matters

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Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search

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References (55)

Founder's Pitch

"Exploit weaknesses in LLMs with classical Chinese prompts using an optimization framework for more effective jailbreak attacks."

Commercial Viability Breakdown

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