Papers with AdversarialBench
Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks (2025.acl-long)
Copied to clipboard
| Challenge: | Multi-agent LLMs are prone to adversarial attacks because of constraints such as limited token bandwidth and latency between message delivery. |
| Approach: | They propose a permutation-invariant adversarial attack that optimizes prompt distribution across latency and bandwidth constraints to bypass distributed safety mechanisms within the system. |
| Outcome: | The proposed method outperforms conventional attacks by up to 7 on multiple models. |