Keuper, Janis
- Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are\n Failing to Reproduce Spectral Distributions
2020/03/03 by Ricard Durall, Margret Keuper, Durall, Ricard +3 · 38 citations
Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Music and Audio Processing #Model Reduction and Neural Networks
- Can We Talk Models Into Seeing the World Differently?
2024/03/14 by Paul Gavrikov, Gavrikov, Paul, Jovita Lukasik +10 · 10 citations
Psychology · #Artificial Intelligence (cs.AI) #Categorization, perception, and language #Computer Vision and Pattern Recognition (cs.CV) #FOS: Biological sciences #FOS: Computer and information sciences #Language, Metaphor, and Cognition #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC)
- Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets
2024/03/26 by Patrick Grommelt, Louis Weiss, Grommelt, Patrick +5 · 9 citations
Computer Science · #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI) #Generative Adversarial Networks and Image Synthesis
- Combating Mode Collapse in GAN training: An Empirical Analysis using\n Hessian Eigenvalues
2020/12/17 by Ricard Durall, Avraam Chatzimichailidis, Durall, Ricard +5 · 4 citations
Computer Science · Engineering · Physics and Astronomy · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality
2023/07/05 by Peter Lorenz, Ricard Durall, Lorenz, Peter +3 · 5 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Generative Adversarial Networks and Image Synthesis #Digital Media Forensic Detection
- Unmasking DeepFakes with simple Features
2019/11/02 by Durall, Ricard, Keuper, Margret, Pfreundt, Franz-Josef +1 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- FrequencyLowCut Pooling -- Plug & Play against Catastrophic Overfitting
2022/04/01 by Julia Grabinski, Steffen Jung, Grabinski, Julia +5 · 2 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Integrated Circuits and Semiconductor Failure Analysis #electronic engineering #information engineering
- Can Biases in ImageNet Models Explain Generalization?
2024/04/01 by Gavrikov, Paul, Keuper, Janis · 3 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability
2016/09/22 by Janis Keuper, Keuper, Janis, Franz‐Josef Pfreundt +1 · 1 citation
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
- SpectralDefense: Detecting Adversarial Attacks on CNNs in the Fourier\n Domain
2021/03/04 by Paula Harder, Harder, Paula, Franz‐Josef Pfreundt +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bacillus and Francisella bacterial research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Detecting AutoAttack Perturbations in the Frequency Domain
2021/11/16 by Peter Lorenz, Paula Harder, Lorenz, Peter +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Bacillus and Francisella bacterial research #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
- Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach
2024/11/22 by Nieradzik, Lars, Stephani, Henrike, Keuper, Janis · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Robust Models are less Over-Confident
2022/10/12 by Grabinski, Julia, Gavrikov, Paul, Keuper, Janis +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling
2023/07/19 by Grabinski, Julia, Jung, Steffen, Keuper, Janis +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- Prompt Injection Attacks on LLM Generated Reviews of Scientific Publications
2025/09/12 by Keuper, Janis · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail
2024/08/28 by Lamm, Bianca, Keuper, Janis · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification
2025/04/16 by B. LAMM, Lamm, Bianca, Janis Keuper +1 · 1 citation
Business, Management and Accounting · Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Consumer Market Behavior and Pricing #FOS: Computer and information sciences #Text and Document Classification Technologies