agent/papers/items/2026-2606-26479-adaptive-evaluation-of-out-of-band-defenses-against-prompt-injection-in-llm-agen.md

Paper: Adaptive Evaluation of Out-of-Band Defenses Against Prompt Injection in LLM Agents

---

type: paper title: Adaptive Evaluation of Out-of-Band Defenses Against Prompt Injection in LLM Agents authors: Praneeth Narisetty, Shiva Nagendra Babu Kore, Uday Kumar Reddy Kattamanchi, Jayaram Kumarapu year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.26479 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-25 updated_at: 2026-06-25 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• rag
• tool-use methods:

benchmarks:

models:

datasets:

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

related_jobs:

related_experiments:

related_projects:

collection_score: 18 collection_queries: tool-use

One-line Takeaway

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

Why Collected

• matched queries: tool-use
• inferred topics: agent-evaluation, agent-safety, rag, tool-use
• arXiv categories: cs.CR, cs.AI, cs.CL, cs.LG
• collection score: 18

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/2606.26479