Using Bluetooth Low Energy to trigger an ultra-low power FSK wake-up receiver. - Paul Gavrikov; Pascal E. Verboket; Tolgay Ungan; Markus Muller; Matthias Lai; Christian Schindelhauer; Leonhard M. Reindl; Thomas M. Wendt (ICECS, 2018)

Exploring Non-Idealities in Real Device Implementations of Bluetooth Mesh. - Paul Gavrikov; Matthias Lai; Thomas Michael Wendt (Int. J. Interdiscip. Telecommun. Netw., 2020)

Adversarial Robustness through the Lens of Convolutional Filters. - Paul Gavrikov; Janis Keuper (CVPR Workshops, 2022)

CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. - Paul Gavrikov; Janis Keuper (CVPR, 2022)

Robust Models are less Over-Confident. - Julia Grabinski; Paul Gavrikov; Janis Keuper; Margret Keuper (NeurIPS, 2022)

An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters. - Paul Gavrikov; Janis Keuper (CoRR, 2022)

Does Medical Imaging learn different Convolution Filters? - Paul Gavrikov; Janis Keuper (CoRR, 2022)

An Extended Study of Human-like Behavior under Adversarial Training. - Paul Gavrikov; Janis Keuper; Margret Keuper (CVPR Workshops, 2023)

On the Interplay of Convolutional Padding and Adversarial Robustness. - Paul Gavrikov; Janis Keuper (ICCV (Workshops), 2023)

Rethinking 1x1 Convolutions: Can we train CNNs with Frozen Random Filters? - Paul Gavrikov; Janis Keuper (CoRR, 2023)

Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers. - Paul Gavrikov; Janis Keuper (CoRR, 2023)

Improving Native CNN Robustness with Filter Frequency Regularization. - Jovita Lukasik; Paul Gavrikov; Janis Keuper; Margret Keuper (Trans. Mach. Learn. Res., 2023)

Can Biases in ImageNet Models Explain Generalization? - Paul Gavrikov; Janis Keuper (CVPR, 2024)

Are Vision Language Models Texture or Shape Biased and Can We Steer Them? - Paul Gavrikov; Jovita Lukasik; Steffen Jung 001; Robert Geirhos; Bianca Lamm; Muhammad Jehanzeb Mirza; Margret Keuper; Janis Keuper (CoRR, 2024)

How Do Training Methods Influence the Utilization of Vision Models? - Paul Gavrikov; Shashank Agnihotri; Margret Keuper; Janis Keuper (CoRR, 2024)

VisualTorch: Streamlining Visualization for PyTorch Neural Network Architectures. - Willy Fitra Hendria; Paul Gavrikov (J. Open Source Softw., 2024)

Can We Talk Models Into Seeing the World Differently? - Paul Gavrikov; Jovita Lukasik; Steffen Jung 001; Robert Geirhos; Muhammad Jehanzeb Mirza; Margret Keuper; Janis Keuper (ICLR, 2025)

GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models. - Muhammad Jehanzeb Mirza; Mengjie Zhao; Zhuoyuan Mao; Sivan Doveh; Wei Lin 019; Paul Gavrikov; Michael Dorkenwald; Shiqi Yang; Saurav Jha; Hiromi Wakaki; Yuki Mitsufuji; Horst Possegger; et al. (Trans. Mach. Learn. Res., 2025)