dailyai.report

An Apple research paper identifies how adversaries infer private constraints from an agent's concession trajectories and timing. While cryptography protects raw data, behavioral patterns still leak sensitive information during high-stakes procurement. The team proposes randomized policies to mitigate these inference attacks. This provides a necessary security layer for developers deploying autonomous negotiation systems.