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- license: apache-2.0
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+ license: apache-2.0
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+ library_name: transformers
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+ pipeline_tag: text-classification
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+ ---
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+ # ShadowMem Judge Model
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+ This repository contains a judge model from the paper [Safeguarding LLM Agents against Long-Horizon Threats via Shadow Memory](https://huggingface.co/papers/2605.03228).
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+ ShadowMem is a defensive framework that maintains a dedicated, safety-focused agentic memory — inspired by the *shadow stack* abstraction in systems security — to distill and retain safety-critical context across an agent's full execution trajectory, and uses this shadow memory to proactively assess pending actions before they are executed.
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+ The model is the trained shadow-memory judge used to evaluate pending actions during agent execution.
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+ Code: https://github.com/ZJUWYH/ShadowMem
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+ ## Citation
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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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+ ```