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Arxiv
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Prompt, Divide, and Conquer: Bypassing Large Language Model Safety Filters via Segmented and Distributed Prompt Processing
- Researchers have developed a framework to bypass safety filters of large language models (LLMs) and generate malicious code.
- The framework employs distributed prompt processing and iterative refinements to achieve a 73.2% success rate (SR) in generating malicious code.
- Comparative analysis shows that traditional single-LLM judge evaluation overestimates SRs compared to the LLM jury system.
- The distributed architecture improves SRs by 12% compared to the non-distributed approach.
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