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Disambiguation of "Hein, Matthias"

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Generating Realistic Counterfactuals for Retinal Fundus and OCT Images using Diffusion Models.

, , , , , , , and . CoRR, (2023)

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Matthias Hein

Matthias Hein

Matthias Hein

Matthias Hein

Matthias Hein

 

Other publications of authors with the same name

Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks., , and . Int. J. Comput. Vis., 128 (4): 1028-1046 (2020)RobustBench: a standardized adversarial robustness benchmark., , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)Diffusion Visual Counterfactual Explanations., , , and . NeurIPS, (2022)Neural Network Heuristic Functions: Taking Confidence into Account., , , , and . SOCS, page 223-228. AAAI Press, (2022)Mind the Box: l1-APGD for Sparse Adversarial Attacks on Image Classifiers., and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2201-2211. PMLR, (2021)Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities., , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 2041-2074. PMLR, (2022)Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints., and . ICML, volume 202 of Proceedings of Machine Learning Research, page 35198-35222. PMLR, (2023)Provable robustness against all adversarial lp-perturbations for p≥1., and . CoRR, (2019)Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization, and . (2012)cite arxiv:1205.0953Comment: 43 pages, 7 figures; extends NIPS 2011 'Sparse recovery by thresholded non-negative least squares'.Sound Randomized Smoothing in Floating-Point Arithmetic., and . ICLR, OpenReview.net, (2023)