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.

In Press

2019

2018