Amplified Patch-Level Differential Privacy for Free via Random Cropping
arXiv:2603.24695v1 Announce Type: cross
Abstract: Random cropping is one of the most common data augmentation techniques in computer vision, yet the role of its inherent randomness in training differentially private machine learning models has thus fa…