Adaptive Adversaries A Multi Turn Multi Llm Benchm

# Adaptive Adversaries: A Multi-Turn, Multi-LLM Benchmark for LLM Agent Security

Derived from arXiv:2607.18063 - Adaptive Adversaries: A Multi-Turn, Multi-LLM Benchmark for LLM Agent Security

## Core Concept
LLM-based agents process external content, exposing them to prompt injection and multi-turn manipulation. Most safety benchmarks evaluate defenders against fixed attack pools collected before evaluation, single-turn or multi-turn. We present a 21-scenario benchmark for \emph{adaptive multi-round attacks against memoryless LLM defenders}: an autonomous LLM attacker observes prior defender responses and pivots across rounds, while each defender response is evaluated as a fresh interaction. Holding...

## Key Insights
- Derived from arXiv:2607.18063
- Published: 2026-07-20
- Utility Score: 1.00
- Authors: Devina Jain, David Hartmann, Chuan Li

## Activation
adaptive-adversaries-a-multi-turn-multi-llm-benchm, 2607.18063

## References
- arXiv: https://arxiv.org/abs/2607.18063