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agent/papers/items/2026-2605-23723-memaudit-post-hoc-auditing-of-poisoned-agent-memory-via-causal-attribution-and-s.md
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2026-07-08 12:25:30 +08:00

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Paper: MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection


type: paper title: "MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection" authors: Zhewen Tan, Yilun Yao, Huiyan Jin, Wenhan Yu, Guoan Wang, Mengyuan Fan, liang lu, Feng Liu, et al. year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.23723 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-22 updated_at: 2026-05-22 status: queued relevance: high topics:

  • agent-evaluation
  • agent-safety
  • memory
  • planning
  • reasoning
  • tool-use methods:

benchmarks:

models:

datasets:

  • cs.AI related_concepts:

collection_score: 17 collection_queries: agent-memory

One-line Takeaway

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

Why Collected

  • matched queries: agent-memory
  • inferred topics: agent-evaluation, agent-safety, memory, planning, reasoning, tool-use
  • arXiv categories: cs.AI
  • collection score: 17

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?