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DeepSeek Harness vulnerable to indirect prompt injection, study finds

By PulseAugur Editorial · [1 sources] ·

Researchers have evaluated the security of the DeepSeek Harness framework against indirect prompt injection attacks. The study, conducted using the AI-Infra-Guard (A.I.G) system, involved over 14,500 controlled executions across various attack methods and channels. Findings indicate that certain attacks, such as hidden Unicode in file mode, achieved success rates as high as 25.5%, highlighting the need for robust controls between untrusted content and sensitive actions within AI systems. AI

IMPACT Highlights potential security risks in AI frameworks, emphasizing the need for better defenses against prompt injection attacks.

RANK_REASON Academic paper detailing security vulnerabilities in an AI system. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DeepSeek Harness vulnerable to indirect prompt injection, study finds

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Academic paper detailing security vulnerabilities in an AI system. [lever_c_demoted from research: ic=1 ai=1.0]
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51 days old
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COVERAGE [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Security Assessment of DeepSeek Harness with A.I.G: Evaluating Resistance to Indirect Prompt Injection

    Researchers evaluate indirect prompt injection risks in DeepSeek Harness using controlled taint and dual judges, finding notable success rates across text and file channels and recommending controls between untrusted content and sensitive actions.

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