Dataset · Hugging Face

npow/memshield-bench

Name: memshield-bench
Creator: npow
License: cc-by-sa-4.0
Keywords: task_categories:text-classification, language:en, license:cc-by-sa-4.0, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2512.16962, arxiv:2101.02235, region:us, security, ai-safety

memshield-bench The first labeled benchmark dataset for AI agent memory poisoning detection. 1,178 entries (856 clean, 322 poisoned) across 10 attack types, 7 domains, and 3 difficulty levels. Clean background text drawn from the AgentPoison (NeurIPS 2024) knowledge bases; poisoned entries authored for this dataset inspired by AgentPoison, MemoryGraft, and Microsoft advisory threat models. Why this dataset There are 60+ prompt injection datasets. There are zero memory… See the full description on the dataset page: https://huggingface.co/datasets/npow/memshield-bench.

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Author / organization	npow
License (as declared)	cc-by-sa-4.0
Downloads	155 (as reported by Hugging Face)
Likes	1
Created	9 March 2026
Last updated at source	9 March 2026

securityai-safetymemory-poisoningragadversarialred-teamingagent-security

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