# 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