Jung, Steffen

10 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 Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models Mishal Fatima, Steffen Jung, Margret Keuper

WACV 2025 FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training Tejaswini Medi, Steffen Jung, Margret Keuper

ICML 2024 CosPGD: An Efficient White-Box Adversarial Attack for Pixel-Wise Prediction Tasks Shashank Agnihotri, Steffen Jung, Margret Keuper

ICLR 2023 Neural Architecture Design and Robustness: A Dataset Steffen Jung, Jovita Lukasik, Margret Keuper

ECCV 2022 FrequencyLowCut Pooling – Plug & Play Against Catastrophic Overfitting Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper

ECCV 2022 Learning Where to Look – Generative NAS Is Surprisingly Efficient Jovita Lukasik, Steffen Jung, Margret Keuper

ECML-PKDD 2022 Learning to Solve Minimum Cost Multicuts Efficiently Using Edge-Weighted Graph Convolutional Neural Networks Steffen Jung, Margret Keuper

NeurIPSW 2021 Internalized Biases in Fréchet Inception Distance Steffen Jung, Margret Keuper

AAAI 2021 Spectral Distribution Aware Image Generation Steffen Jung, Margret Keuper