Beyond the universal law of robustness: Sharper laws for random features and neural tangent kernels
S. Bombari, S. Kiyani, M. Mondelli, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 2738–2776.
LibreCat: https://research-explorer.ista.ac.at/record/12859
arXiv: 2302.01629

Towards differential relational privacy and its use in question answering
S. Bombari, A. Achille, Z. Wang, Y.-X. Wang, Y. Xie, K.Y. Singh, S. Appalaraju, V. Mahadevan, S. Soatto, ArXiv (n.d.).
LibreCat: https://research-explorer.ista.ac.at/record/12860
DOI: 10.48550/arXiv.2203.16701
arXiv: 2203.16701

Sharp asymptotics on the compression of two-layer neural networks
M.H. Amani, S. Bombari, M. Mondelli, R. Pukdee, S. Rini, IEEE Information Theory Workshop (2022) 588–593.
LibreCat: https://research-explorer.ista.ac.at/record/12538
DOI: 10.1109/ITW54588.2022.9965870
arXiv: 2205.08199

Memorization and optimization in deep neural networks with minimum over-parameterization
S. Bombari, M.H. Amani, M. Mondelli, in:, 36th Conference on Neural Information Processing Systems, Curran Associates, 2022, pp. 7628–7640.
LibreCat: https://research-explorer.ista.ac.at/record/12537
arXiv: 2205.10217