| Sparse-rs: a versatile framework for query-efficient sparse black-box adversarial attacks F Croce, M Andriushchenko, ND Singh, N Flammarion, M Hein Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6437-6445, 2022 | 99 | 2022 |
| Revisiting adversarial training for imagenet: Architectures, training and generalization across threat models ND Singh, F Croce, M Hein Advances in Neural Information Processing Systems 36, 2023 | 37 | 2023 |
| Clustering and learning from imbalanced data ND Singh, A Dhall NeurIPS 2018 AI4Fin Workshop, 2018 | 24 | 2018 |
| Robust clip: Unsupervised adversarial fine-tuning of vision embeddings for robust large vision-language models C Schlarmann, ND Singh, F Croce, M Hein arXiv preprint arXiv:2402.12336, 2024 | 5 | 2024 |
| Robust semantic segmentation: Strong adversarial attacks and fast training of robust models F Croce, ND Singh, M Hein arXiv preprint arXiv:2306.12941, 2023 | 5* | 2023 |
| Adversarially Robust CLIP Models Induce Better (Robust) Perceptual Metrics F Croce, C Schlarmann, ND Singh, M Hein ICML 2024 Workshop on Foundation Models in the Wild, 2024 | 1 | 2024 |
Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
