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DataFilter is a defense system designed to protect LLM agent systems against prompt injection attacks, providing robust protection while preserving utility and performance. The project emphasizes secure testing and reproducibility, offering installation steps and scripts to run inference and reproduce paper results. It includes components such as filter_inference.py and various config files to configure and evaluate the protection mechanism.
AI named DataFilter in March 2026.