Gavrikov, Paul

11 publications

ICLR 2025 Can We Talk Models into Seeing the World Differently? Paul Gavrikov, Jovita Lukasik, Steffen Jung, Robert Geirhos, Muhammad Jehanzeb Mirza, Margret Keuper, Janis Keuper

TMLR 2025 GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models Muhammad Jehanzeb Mirza, Mengjie Zhao, Zhuoyuan Mao, Sivan Doveh, Wei Lin, Paul Gavrikov, Michael Dorkenwald, Shiqi Yang, Saurav Jha, Hiromi Wakaki, Yuki Mitsufuji, Horst Possegger, Rogerio Feris, Leonid Karlinsky, James R. Glass

CVPR 2024 Can Biases in ImageNet Models Explain Generalization? Paul Gavrikov, Janis Keuper

NeurIPSW 2024 How Do Training Methods Influence the Utilization of Vision Models? Paul Gavrikov, Shashank Agnihotri, Margret Keuper, Janis Keuper

CVPRW 2023 An Extended Study of Human-like Behavior Under Adversarial Training Paul Gavrikov, Janis Keuper, Margret Keuper

TMLR 2023 Improving Native CNN Robustness with Filter Frequency Regularization Jovita Lukasik, Paul Gavrikov, Janis Keuper, Margret Keuper

ICCVW 2023 On the Interplay of Convolutional Padding and Adversarial Robustness Paul Gavrikov, Janis Keuper

CVPRW 2022 Adversarial Robustness Through the Lens of Convolutional Filters Paul Gavrikov, Janis Keuper

CVPR 2022 CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Paul Gavrikov, Janis Keuper

NeurIPS 2022 Robust Models Are Less Over-Confident Julia Grabinski, Paul Gavrikov, Janis Keuper, Margret Keuper

NeurIPSW 2021 An Empirical Investigation of Model-to-Model Distribution Shifts in Trained Convolutional Filters Paul Gavrikov, Janis Keuper