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by nielsr HF Staff - opened
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  1. README.md +39 -0
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+ ---
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+ task_categories:
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+ - text-classification
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+ tags:
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+ - safety
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+ - llm-agents
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+ - prompt-injection
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+ - long-horizon
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+ ---
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+
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+ # ShadowMem Dataset
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+
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+ This repository contains data associated with the paper [Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory](https://huggingface.co/papers/2605.03228).
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+
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+ ShadowMem is a defensive framework that maintains a dedicated, safety-focused agentic memory to distill and retain safety-critical context across an agent's full execution trajectory, and uses this shadow memory to proactively assess the risk of pending actions before they are executed.
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+
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+ Code: https://github.com/ZJUWYH/ShadowMem
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+
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+ ### Related artifacts
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+
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+ - PI judge model: https://huggingface.co/HuntingQuasar/pi-model
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+ - STAC judge model: https://huggingface.co/HuntingQuasar/stac-model
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+ - PI dataset: https://huggingface.co/datasets/HuntingQuasar/pi-dataset
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+ - STAC dataset: https://huggingface.co/datasets/HuntingQuasar/stac-dataset
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+
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+ ### Citation
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+
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+ ```bibtex
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+ @inproceedings{wang2026shadowmem,
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+ author = {Yuhui Wang and Tanqiu Jiang and Jiacheng Liang and Charles Fleming and Ting Wang},
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+ title = {Safeguarding {LLM} Agents against Long-Horizon Threats via Shadow Memory},
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+ booktitle = {Proceedings of the 2026 ACM SIGSAC Conference on Computer and Communications Security},
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+ series = {CCS '26},
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+ year = {2026},
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+ publisher = {Association for Computing Machinery},
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+ doi = {10.1145/3830454.3846601},
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+ url = {https://doi.org/10.1145/3830454.3846601}
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+ }
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+ ```