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Behavioral Privacy Leakage in Agentic Negotiation: Formalizing and Mitigating Inference Attacks via Randomized Policies

4 upvotes · 7 JUL 2026 · Barkha Rani

This paper helps prevent attackers from learning a negotiation agent's private constraints by analyzing how the agent makes decisions, and it proposes a new policy that balances privacy and performance. Practitioners might care about this research if they develop autonomous negotiation systems that could be vulnerable to attacks.

differential privacynegotiation protocolsstochastic policybehavioral privacyautonomous agents