dailyai.report

A new Apple paper identifies behavioral privacy leakage in autonomous negotiation agents. Adversaries can infer private constraints by analyzing concession trajectories and timing, bypassing standard cryptography. The researchers propose randomized policies to mitigate these inference attacks. This provides a necessary framework for securing high-stakes procurement and insurance agents against strategic data mining.