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privacy-testing

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AgentLeak (IEEE Access 2026): benchmark for internal-channel privacy leakage in multi-agent LLM systems. Inter-agent messages leak 68.8% vs 27.2% in final outputs; output-only audits miss 41.7%. 1,000 scenarios, 7 channels, 5 LLMs. Tool & MCP server: github.com/yagobski/agentleak

  • Updated Oct 5, 2026
  • Python
visual-verifier

Test blur, redaction, masking, and anonymization on every image/video frame. Deterministic PASS/FAIL, temporal tracking evidence, local reports, and CI-ready exit codes.

  • Updated Nov 1, 2026
  • Python

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