soft-instruction-defense

【数据与研究】Defends tool-augmented LLM agents against prompt injection via iterative input sanitization. Multi-pass inspection detects malicious instructions in untrusted data, remediates them, and re-evaluates until clean or iteration limit reached. Raises attack barrier while maintaining agent usability.

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