Mitigating Privacy Leakage in Agentic Negotiation via Randomized Policies
July 6, 2026
Negotiation agents risk leaking private constraints through observable concession trajectories and timing patterns. This method implements an adaptive stochastic policy that provides (epsilon, delta)-differential privacy while maintaining convergence to an agreement and maximizing utility.
HOW THIS AFFECTS YOU
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researcherYou can use these formal privacy guarantees to evaluate agentic protocols.
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policyThis provides a framework for auditing autonomous agents in regulated sectors like insurance.