arXiv (OAI Expanded)
open access
Adaptive Adversaries: A Multi-Turn, Multi-LLM Benchmark for LLM Agent Security
LLM-based agents process external content, exposing them to prompt injection and multi-turn manipulation. We present a 21-scenario benchmark for adaptive cross-session attacks against fresh-session LLM defenders: an autonomous LLM attacker observes prior defender responses and pivots across rounds,
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AgentRedBench: Dynamic Redteaming and Integration-Aware Defense for LLM Agents over SaaS Integrations#246421
- LLM-Based Agents for Software and Systems Security: Approaches, Applications, and Assessment#618499
- pikit: A Composable Toolkit for Indirect Prompt Injection Research and Evaluation#1132018
- pikit: A Composable Toolkit for Indirect Prompt Injection Research and Evaluation#1122213
- CONTINUITY: Security-Context Contracts for Composable LLM Agent Controls#660740
Record · ID 1070883
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive