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Category
Cybersecurity
Rank
No. 3582Tools index
Pricing
Open Source
Type
TOOL
GitHub
40 stars
Date

About

A research benchmark for privacy leakage in multi-agent LLM systems, accompanying an IEEE Access paper. It covers 1,000 scenarios across healthcare, finance, legal and corporate domains and seven channels, including inter-agent messages, tool calls, shared memory and logs. The paper's point is that audits checking only final outputs miss sensitive data disclosed through internal channels. A separate installable tool handles analysis of your own agent traces.

Tags

llmprivacybenchmarkmulti-agentsecurityresearch

Tech Stack

Python

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Editorially curated, with community endorsements as a secondary signal. Corrections welcome.