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cs.AI2026
OMNI-LEAK: Orchestrator Multi-Agent Network Induced Data Leakage
Akshat Naik, Jay Culligan, Yarin Gal +4
As Large Language Model (LLM) agents become more capable, their coordinated use in the form of multi-agent systems is anticipated to emerge as a practical paradigm. Prior work has…
cs.AI2025
AgentMisalignment: Measuring the Propensity for Misaligned Behaviour in LLM-Based Agents
Akshat Naik, Emma Gouné, Patrick Quinn +4
As Large Language Model (LLM) agents become more widespread, associated misalignment risks increase. While prior research has studied agents' ability to produce harmful outputs or…