Hamid Javadi

Porcupine Neural Networks: Approximating Neural Network Landscapes

2018 · Neural Information Processing Systems

Neural networks have been used prominently in several machine learning and statistics applications. In general, the underlying optimization of neural networks is non-convex which makes analyzing their performance challenging. In this paper, we take another …

A Blessing of Dimensionality in Membership Inference through Regularization

2022 · arXiv (Cornell University)

Is overparameterization a privacy liability? In this work, we study the effect that the number of parameters has on a classifier's vulnerability to membership inference attacks. We first demonstrate how the number of parameters of …