Our paper “GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation” with Ali Shahin Shamsabadi, Aurélien Bellet, and Daniel Gatica-Perez has been accepted to USENIX Security Symposium (USENIX Security 2023). Our code is available on GitHub.

October 2023

Our paper “ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees” has been accepted to WSDM 2024. The code is available on GitHub.

October 2023

I started working as an AI Engineer in the Privacy-Preserving ML team at Sony AI in Zurich!

August 2023

I successfully passed my private PhD defense!

April 2023

Our new preprint titled ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees is available on Arxiv.