Nettsider med emneord «differential privacy»

Differential privacy formally defines how an algorithm can protect individual privacy. Previous theoretical results in learning theory have shown that local differential privacy incurs a small learning penalty proportional to how much privacy we want to preserve. However, other results also show that being private aids generalisation ability. It is the purpose of this research programme to explore these ideas in online learning.