Simone Bombari
7 Publications
2025 | Published | Journal Article | IST-REx-ID: 19627 |
Bombari S, Mondelli M. 2025. Privacy for free in the overparameterized regime. Proceedings of the National Academy of Sciences. 122(15), e2423072122.
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2024 | Published | Conference Paper | IST-REx-ID: 18973 |
Bombari S, Mondelli M. 2024. Towards understanding the word sensitivity of attention layers: A study via random features. 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 4300–4328.
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2024 | Published | Conference Paper | IST-REx-ID: 18972 |
Bombari S, Mondelli M. 2024. How spurious features are memorized: Precise analysis for random and NTK features. 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 4267–4299.
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2023 | Published | Conference Paper | IST-REx-ID: 12859 |
Bombari S, Kiyani S, Mondelli M. 2023. Beyond the universal law of robustness: Sharper laws for random features and neural tangent kernels. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 2738–2776.
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2022 | Submitted | Preprint | IST-REx-ID: 12860 |
Bombari S, Achille A, Wang Z, Wang Y-X, Xie Y, Singh KY, Appalaraju S, Mahadevan V, Soatto S. Towards differential relational privacy and its use in question answering. arXiv, 2203.16701.
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2022 | Published | Conference Paper | IST-REx-ID: 12537 |
Bombari S, Amani MH, Mondelli M. 2022. Memorization and optimization in deep neural networks with minimum over-parameterization. 36th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 35, 7628–7640.
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2022 | Published | Journal Article | IST-REx-ID: 12538 |
Amani MH, Bombari S, Mondelli M, Pukdee R, Rini S. 2022. Sharp asymptotics on the compression of two-layer neural networks. IEEE Information Theory Workshop., 588–593.
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Trustworthy Deep Learning Theory: Private Over-Parameterized Models and Robust LLMs
2024-10-01 – 2025-09-14
Google Research
7 Publications
2025 | Published | Journal Article | IST-REx-ID: 19627 |
Bombari S, Mondelli M. 2025. Privacy for free in the overparameterized regime. Proceedings of the National Academy of Sciences. 122(15), e2423072122.
[Published Version]
View
| Files available
| DOI
| WoS
| PubMed | Europe PMC
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18973 |
Bombari S, Mondelli M. 2024. Towards understanding the word sensitivity of attention layers: A study via random features. 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 4300–4328.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2024 | Published | Conference Paper | IST-REx-ID: 18972 |
Bombari S, Mondelli M. 2024. How spurious features are memorized: Precise analysis for random and NTK features. 41st International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 235, 4267–4299.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 12859 |
Bombari S, Kiyani S, Mondelli M. 2023. Beyond the universal law of robustness: Sharper laws for random features and neural tangent kernels. Proceedings of the 40th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 202, 2738–2776.
[Preprint]
View
| Files available
| Download Preprint (ext.)
| arXiv
2022 | Submitted | Preprint | IST-REx-ID: 12860 |
Bombari S, Achille A, Wang Z, Wang Y-X, Xie Y, Singh KY, Appalaraju S, Mahadevan V, Soatto S. Towards differential relational privacy and its use in question answering. arXiv, 2203.16701.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 12537 |
Bombari S, Amani MH, Mondelli M. 2022. Memorization and optimization in deep neural networks with minimum over-parameterization. 36th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems, Advances in Neural Information Processing Systems, vol. 35, 7628–7640.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2022 | Published | Journal Article | IST-REx-ID: 12538 |
Amani MH, Bombari S, Mondelli M, Pukdee R, Rini S. 2022. Sharp asymptotics on the compression of two-layer neural networks. IEEE Information Theory Workshop., 588–593.
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv