Research on Behavioral Privacy Leaks in Negotiation Agents
Apple ML Research · rss · 2026-07-10
This paper investigates behavioral privacy leakage in agentic negotiation scenarios: even if encryption protects explicitly disclosed constraint values, attackers might still infer private constraints through observable behaviors like concession trajectories and timing.
The paper proposes a framework to formalize this threat model and discusses using randomized strategies to mitigate such inference attacks. It notes that these autonomous negotiation agents are emerging in high-stakes scenarios like insurance and procurement, making the issue highly relevant.
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