1. Deep Learning with Differential Privacy
2. David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman, Clinton Fookes, and Lars Petersson. 2021. Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future. arXiv preprint arXiv:2105.13137 (2021).
3. Morgane Ayle, Jan Schuchardt, Lukas Gosch, Daniel Zügner, and Stephan Günnemann. 2023. Training Differentially Private Graph Neural Networks with Random Walk Sampling. arXiv preprint arXiv:2301.00738 (2023).
4. Eugene Belilovsky, Michael Eickenberg, and Edouard Oyallon. 2020. Decoupled Greedy Learning of CNNs. In Proceedings of the 37th International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol. 119), Hal Daumé III and Aarti Singh (Eds.). PMLR, 736--745.
5. Graph Neural Networks for COVID-19 Drug Discovery