agent/papers/items/2026-2605-08442-defense-effectiveness-across-architectural-layers-a-mechanistic-evaluation-of-pe.md

Paper: Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents

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type: paper title: "Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents" authors: Jun Wen Leong year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.08442 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-08 updated_at: 2026-07-03 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• computer-use
• memory
• rag
• reasoning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.CR
• cs.AI
• cs.LG related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 23 collection_queries: agent-safety

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: agent-safety
• inferred topics: agent-evaluation, agent-safety, computer-use, memory, rag, reasoning, tool-use
• arXiv categories: cs.CR, cs.AI, cs.LG
• collection score: 23

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/2605.08442