2022
On the Importance of Difficulty Calibration in Membership Inference Attacks
ICLR 2022poster
The vulnerability of machine learning models to membership inference attacks has received much attention in recent years. However, existing attacks mostly remain impractical due to having high false positive rates, where non-member samples are often erroneously predicted as members. This type of err…