Simone Antonelli


I am a first-year Ph.D. student at the CISPA Helmholtz Center for Information Security, advised by Aleksandar Bojchevski.

My research focuses on trustworthy machine learning, specifically exploring the robustness of graph neural networks, differentially private graph learning and generative models.

I have obtained a B.Ss. and M.Sc. in Computer Science from Sapienza University of Rome where I was awarded as an outstanding student for the a.y. 2020/2021. While away from research, I enjoy doing sports and hiking in nature. For longer breaks, I indulge in travel particularly backpacking.


Apr, 2023 Our paper on conformal prediction for graphs has been accepted at ICML.
Mar, 2023 I have been selected as an outstanding graduate student for the a.y. 2020/2021.
Dec, 2022 Our paper on few-shot graph classification has been accepted at LoG Conference.
Nov, 2022 I joined Aleksandar Bojchevski’s group as a Ph.D. student.
Feb, 2022 Our survey has been accepted at ACM Computing Surveys.

selected publications

  1. ICML
    Conformal Prediction Sets for Graph Neural Networks
    Soroush H. Zargarbashi, Simone Antonelli, and Aleksandar Bojchevski
    In Proceedings of the 40th International Conference on Machine Learning, 2023
  2. LOG
    Metric Based Few-Shot Graph Classification
    Donato Crisostomi, Simone Antonelli, Valentino Maiorca, Luca Moschella, and 2 more authors
    In The First Learning on Graphs Conference, 2022
  3. ACM
    Few-Shot Object Detection: A Survey
    Simone Antonelli*, Danilo Avola, Luigi Cinque, Donato Crisostomi*, and 5 more authors
    ACM Comput. Surv., Sep 2022