Group Decision-Making among Privacy-Aware Agents

How can individuals exchange information to learn from each other despite their privacy needs and security concerns? For example, consider individuals deliberating a contentious topic and being concerned about divulging their private experiences. Preserving individual privacy and enabling efficient social learning are both important desiderata but seem fundamentally at odds with each other and very hard to reconcile. We do so by controlling information leakage using rigorous statistical guarantees that are based on differential privacy (DP). Our agents use log-linear …

aware can cs.ai cs.cr cs.lg cs.ma decision exchange experiences important information learn making privacy private security security concerns social stat.ml topic