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cs.LG2024
RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization
Ce Feng, Parv Venkitasubramaniam
The rise of IoT devices has prompted the demand for deploying machine learning at-the-edge with real-time, efficient, and secure data processing. In this context, implementing mach…
cs.LG2023
Spectral-DP: Differentially Private Deep Learning through Spectral Perturbation and Filtering
Ce Feng, Nuo Xu, Wujie Wen +2
Differential privacy is a widely accepted measure of privacy in the context of deep learning algorithms, and achieving it relies on a noisy training approach known as differentiall…