People
ILLS member
Mohammadhadi Shateri
Professor
ÉTS

Biography
Mohammadhadi Shateri studies how to share useful data without disclosing sensitive information about the people who generated it. His work on smart meters examines what electricity readings reveal about household activity. He also evaluates generative models against membership inference attacks, which test whether a particular person’s data was used to train a model.
Research topics
- Privacy-preserving learning
- Generative models
- Inference attacks
