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Cover image for New AI Attack Method Bypasses Safety Controls with 80% Success Rate, Evading Detection
Mike Young
Mike Young

Posted on • Originally published at aimodels.fyi

New AI Attack Method Bypasses Safety Controls with 80% Success Rate, Evading Detection

This is a Plain English Papers summary of a research paper called New AI Attack Method Bypasses Safety Controls with 80% Success Rate, Evading Detection. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Overview

  • Introduces Antelope, a novel jailbreak attack method against Large Language Models (LLMs)
  • Achieves 80%+ success rate against major LLMs including GPT-4 and Claude
  • Uses a two-stage approach combining context manipulation and prompt engineering
  • Operates without detection by common defense mechanisms
  • Demonstrates high transferability across different LLM systems

Plain English Explanation

Jailbreak attacks are attempts to make AI systems bypass their safety controls. Antelope works like a skilled social engineer - it first creates a seemingly innocent scenario, then sn...

Click here to read the full summary of this paper

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