Bernd Prach

Graduate School
Lampert Group

4 Publications

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[4]
2024 | Published | Conference Paper | IST-REx-ID: 17426 | OA
B. Prach, F. Brau, G. Buttazzo, and C. Lampert, “1-Lipschitz layers compared: Memory, speed, and certifiable robustness,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, United States, 2024, pp. 24574–24583.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2024 | Submitted | Preprint | IST-REx-ID: 18874 | OA
Prach, Bernd, Intriguing properties of robust classification. arXiv. 2024
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[2]
2023 | Submitted | Preprint | IST-REx-ID: 15039 | OA
B. Prach and C. Lampert, “1-Lipschitz neural networks are more expressive with N-activations,” arXiv. .
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2022 | Published | Conference Paper | IST-REx-ID: 11839 | OA
B. Prach and C. Lampert, “Almost-orthogonal layers for efficient general-purpose Lipschitz networks,” in Computer Vision – ECCV 2022, Tel Aviv, Israel, 2022, vol. 13681, pp. 350–365.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
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4 Publications

Mark all

[4]
2024 | Published | Conference Paper | IST-REx-ID: 17426 | OA
B. Prach, F. Brau, G. Buttazzo, and C. Lampert, “1-Lipschitz layers compared: Memory, speed, and certifiable robustness,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, United States, 2024, pp. 24574–24583.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 
[3]
2024 | Submitted | Preprint | IST-REx-ID: 18874 | OA
Prach, Bernd, Intriguing properties of robust classification. arXiv. 2024
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[2]
2023 | Submitted | Preprint | IST-REx-ID: 15039 | OA
B. Prach and C. Lampert, “1-Lipschitz neural networks are more expressive with N-activations,” arXiv. .
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[1]
2022 | Published | Conference Paper | IST-REx-ID: 11839 | OA
B. Prach and C. Lampert, “Almost-orthogonal layers for efficient general-purpose Lipschitz networks,” in Computer Vision – ECCV 2022, Tel Aviv, Israel, 2022, vol. 13681, pp. 350–365.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
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Citation Style: IEEE

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