Youssef Allouah

Balancing Privacy, Robustness, and Efficiency in Machine Learning

2023 · arXiv (Cornell University)

This position paper argues that achieving robustness, privacy, and efficiency simultaneously in machine learning systems is infeasible under prevailing threat models. The tension between these goals arises not from algorithmic shortcomings but from structural limitations …