Papers with implicit manipulation strategies

1 papers
FinSafetyBench: Evaluating LLM Safety in Real-World Financial Scenarios (2026.findings-acl)

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Challenge: Existing large language models (LLMs) are prone to misuse and misinformation, posing serious compliance risks.
Approach: They propose a bilingual red-teaming benchmark to test an LLM’s refusal of requests that violate financial compliance.
Outcome: The proposed benchmark is based on real-world financial crime cases and ethical violations and includes 14 subcategories covering financial crimes and ethical breaches.

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