2022
Task-aware Privacy Preservation for Multi-dimensional Data
ICML 2022spotlight
Local differential privacy (LDP) can be adopted to anonymize richer user data attributes that will be input to sophisticated machine learning (ML) tasks. However, today’s LDP approaches are largely task-agnostic and often lead to severe performance loss – they simply inject noise to all data attribu…