Files
agent/papers/items/2026-2607-14651-mempoison-uncovering-persistent-memory-threats-and-structural-blind-spots-in-llm.md
2026-07-27 16:28:23 +08:00

63 lines
1.4 KiB
Markdown

# Paper: MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM Agents
---
type: paper
title: "MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM Agents"
authors: Jifeng Gao, Kang Xia, Yi Zhang, Xiaobin Hong, Mingkai Lin, Xingshen Wei, Wenzhong Li, Sanglu Lu
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2607.14651
code_url:
source: arxiv
collected_at: 2026-07-27
published_at: 2026-07-16
updated_at: 2026-07-16
status: queued
relevance: high
topics:
- agent-evaluation
- agent-safety
- memory
- rag
- tool-use
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.CR
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 20
collection_queries: llm-agent
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: llm-agent
- inferred topics: agent-evaluation, agent-safety, memory, rag, tool-use
- arXiv categories: cs.CR
- collection score: 20
## Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?
## Links
- arXiv: https://arxiv.org/abs/2607.14651