GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation
Published in USENIX Security Symposium, 2023
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March 2025
Our paper “Argus: A Compact and Versatile Foundation Model for Vision” has been accepted to CVPR 2025.
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!