Privacy

Van Hentenryck’s research on privacy focuses on applied differential privacy for complex applications in mobility, energy, census data, and other areas, as well as privacy-preserving federated data sharing. The key focus is on isolating differential privacy techniques that are accurate enough for sophisticated analytic tasks, including optimization and machine learning.

ArXiv

In Press

2021

2020

2019

2018