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

Apple ML Research · 1 week ago

Researchers developed an adaptive stochastic policy for autonomous negotiation agents that protects behavioral privacy by preventing adversaries from inferring private constraints from observable negotiation dynamics like concession patterns and timing. The mechanism achieved a 43-50% reduction in adversarial inference accuracy while maintaining negotiation success rates and utility above 90% across 3,000 synthetic bilateral negotiations. This approach enables negotiation agents to operate with differential privacy guarantees without substantially sacrificing negotiation performance or deal completion rates.