| CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters P Gavrikov, J Keuper Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 29 | 2022 |
| Adversarial robustness through the lens of convolutional filters P Gavrikov, J Keuper Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 15 | 2022 |
| Robust Models are less Over-Confident J Grabinski, P Gavrikov, J Keuper, M Keuper Advances in Neural Information Processing Systems, 2022 | 9 | 2022 |
| Using Bluetooth Low Energy to trigger an ultra-low power FSK wake-up receiver P Gavrikov, PE Verboket, T Ungan, M Müller, M Lai, C Schindelhauer, ... 2018 25th IEEE International Conference on Electronics, Circuits and Systems …, 2018 | 9 | 2018 |
| An extended study of human-like behavior under adversarial training P Gavrikov, J Keuper, M Keuper Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| A low power and low latency scan algorithm for bluetooth low energy radios with energy detection mechanisms P Gavrikov, M Lai, T Wendt 2019 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob), 1-6, 2019 | 3 | 2019 |
| Improving Native CNN Robustness with Filter Frequency Regularization J Lukasik, P Gavrikov, J Keuper, M Keuper Transactions on Machine Learning Research, 2023 | 2 | 2023 |
| On the Interplay of Convolutional Padding and Adversarial Robustness P Gavrikov, J Keuper Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Evaluation und Integration von Wake-up-Empfängern in Bluetooth Mesh P Gavrikov University of Freiburg, 2018 | 2 | 2018 |
| Rethinking 1× 1 Convolutions: Can we train CNNs with Frozen Random Filters? P Gavrikov, J Keuper arXiv, 2023 | 1 | 2023 |
| Tackling Key Challenges of AI Development–Insights from an Industry-Academia Collaboration A Melde, M Madan, P Gavrikov, D Hoof, A Laubenheimer, J Keuper, ... The Upper-Rhine Artificial Intelligence Symposium UR-AI 2022: AI …, 2022 | 1 | 2022 |
| Exploring Non-Idealities in Real Device Implementations of Bluetooth Mesh P Gavrikov, M Lai, T Wendt International Journal of Interdisciplinary Telecommunications and Networking …, 2020 | 1 | 2020 |
| Human Body Models I Dobrusin, P Gavrikov, M Killi Seminar Course, 0 | 1 | |
| Can Biases in ImageNet Models Explain Generalization? P Gavrikov, J Keuper arXiv preprint arXiv:2404.01509, 2024 | | 2024 |
| Are Vision Language Models Texture or Shape Biased and Can We Steer Them? P Gavrikov, J Lukasik, S Jung, R Geirhos, B Lamm, MJ Mirza, M Keuper, ... arXiv preprint arXiv:2403.09193, 2024 | | 2024 |
| Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers P Gavrikov, J Keuper arXiv preprint arXiv:2308.12661, 2023 | | 2023 |
| The Power of Linear Combinations: Learning with Random Convolutions P Gavrikov, J Keuper arXiv preprint arXiv:2301.11360, 2023 | | 2023 |
| Does Medical Imaging learn different Convolution Filters? P Gavrikov, J Keuper arXiv preprint arXiv:2210.13799, 2022 | | 2022 |
Janis KeuperInstitute for Machine Learning and Analytics (IMLA), Offenburg University, GermanyVerified email at hs-offenburg.de
