2 papers
cs.LG2026
Revisiting Privacy Amplification by Subsampling in Selective Release DPSGD
Xiaobo Huang, Fang Xie
Machine learning's reliance on sensitive data necessitates privacy-preserving techniques like Differentially Private Stochastic Gradient Descent (DPSGD). However, DPSGD suffers fro…
cs.LG2025
Steps Adaptive Decay DPSGD: Enhancing Performance on Imbalanced Datasets with Differential Privacy with HAM10000
Xiaobo Huang, Fang Xie
When applying machine learning to medical image classification, data leakage is a critical issue. Previous methods, such as adding noise to gradients for differential privacy, work…