dailyai.report

Behavioral privacy leakage allows adversaries to infer private constraints from a negotiation agent's concession patterns. Apple researchers formalized these inference attacks and proposed randomized policies to mask sensitive data. This approach prevents competitors from reverse-engineering private limits. The findings provide a framework for securing autonomous agents in high-stakes procurement and insurance settings.