Trustworthy Deep Learning Theory: Private Over-Parameterized Models and Robust LLMs
Project Period: 2024-10-01 – 2025-09-14
Funder:
Google Research
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Google Research
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Google-PhPF
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2 Publications
2025 |
Published |
Journal Article |
IST-REx-ID: 19627 |
Privacy for free in the overparameterized regime
S. Bombari, M. Mondelli, Proceedings of the National Academy of Sciences 122 (2025).
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S. Bombari, M. Mondelli, Proceedings of the National Academy of Sciences 122 (2025).
2025 |
Published |
Conference Paper |
IST-REx-ID: 21324 |
Spurious correlations in high dimensional regression: The roles of regularization, simplicity bias and over-parameterization
S. Bombari, M. Mondelli, in:, Proceedings of the 42nd International Conference on Machine Learning, ML Research Press, 2025, pp. 4839–4873.
[Published Version]
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S. Bombari, M. Mondelli, in:, Proceedings of the 42nd International Conference on Machine Learning, ML Research Press, 2025, pp. 4839–4873.