AgentLeak: A Full-Stack Benchmark for Privacy Leakage in Multi-Agent LLM Systems
📰 ArXiv cs.AI
AgentLeak is a benchmark for measuring privacy leakage in multi-agent LLM systems
Action Steps
- Identify potential privacy leakage pathways in multi-agent LLM systems
- Use AgentLeak to benchmark and evaluate the privacy risks of these pathways
- Analyze the results to inform the design of more secure and private multi-agent LLM systems
- Implement mitigation strategies to prevent privacy leakage in deployed models
Who Needs to Know This
AI researchers and engineers working on multi-agent LLM systems can use AgentLeak to identify and mitigate privacy risks, while data scientists and security experts can leverage it to evaluate the security of their models
Key Insight
💡 Current benchmarks for LLM systems do not account for privacy risks introduced by inter-agent communication and coordination
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🚨 Introducing AgentLeak: a benchmark for measuring privacy leakage in multi-agent LLM systems 🚨
Key Takeaways
AgentLeak is a benchmark for measuring privacy leakage in multi-agent LLM systems
Full Article
Title: AgentLeak: A Full-Stack Benchmark for Privacy Leakage in Multi-Agent LLM Systems
Abstract:
arXiv:2602.11510v2 Announce Type: replace Abstract: Multi-agent Large Language Model (LLM) systems create privacy risks that current benchmarks cannot measure. When agents coordinate on tasks, sensitive data passes through inter-agent messages, shared memory, and tool arguments, all pathways that output-only audits never inspect. We introduce AgentLeak, to the best of our knowledge the first full-stack benchmark for privacy leakage covering internal channels. It spans 1,000 scenarios across heal
Abstract:
arXiv:2602.11510v2 Announce Type: replace Abstract: Multi-agent Large Language Model (LLM) systems create privacy risks that current benchmarks cannot measure. When agents coordinate on tasks, sensitive data passes through inter-agent messages, shared memory, and tool arguments, all pathways that output-only audits never inspect. We introduce AgentLeak, to the best of our knowledge the first full-stack benchmark for privacy leakage covering internal channels. It spans 1,000 scenarios across heal
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