Yassine Abbahaddou

About Me

I am a Ph.D. Candidate at Ecole Polytechnique based in Paris. I am working at Laboratoire d'informatique de l'École polytechnique (LIX) under the supervision of Michalis Vazirgiannis, Johannes F. Lutzeyer and Fragkiskos D. Malliaros . Prior to that, I graduated from Centrale Paris (Applied Mathematics) and ENS Paris-Saclay ( M2 MVA Mathématiques, Vision, Apprentisage ).

My research interests span the broad area of Graph Neural Networks, with focus on Adversarial Robustness and Geometric Deep Learning. I enjoy applying theoretical mathematical concepts to develop new machine learning algorithms for a variety of practical real-world applications.

My academic CV can be accessed here

Research Interests

• Machine Learning: Representation Learning, Natural Language Processing.
• Graph Neural Networks: Adversarial Robustness, Spectral Properties of Graph Shift Operator Matrices, Geometric GNNs.
• Information Geometry: Asymptotic Theory of Statistical Inference, Invariant Geometry of Manifolds.

What's new?

• [March 2024] We presented our ICLR paper at the Morocco AI Webinar [Slides | Recording].
• [Jan. 2024] Our paper "Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks" is accepted to ICLR 2024.
• [Dec. 2023] Our paper "Simple and Yet Fairly Effective Defense for Graph Neural Networks" is accepted to AAAI 2024.
• [Oct. 2023] Our paper "Graph Neural Networks on Discriminative Graphs of Words" is accepted to the GLFrontiers Workshop at Neurips 2023.
• [Jun. 2023] Our paper "Simple and Yet Fairly Effective Defense for Graph Neural Networks" is accepted to the AdvML workshop at ICML 2023.

Publications

Achievements & Awards

• Top 1% students in Morocco (Concours National Commun ranking 2017) [Ranked 52-nd].
• French Government’s Major-Excellence Scholarship (37,830 €) [Given to the top 40 Students].
• Merit Scholarship of the CIUP (5,000 € ).
• ICML Grant (1,700 $ ).