Deepfakes: we need to re-think the concept of "real" images
Fuente:
arXiv
Saved in:
| Main Authors: | Keuper, Janis, Keuper, Margret |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain
by: Grabinski, Julia, et al.
Published: (2023)
by: Grabinski, Julia, et al.
Published: (2023)
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection
by: Lorenz, Peter, et al.
Published: (2022)
by: Lorenz, Peter, et al.
Published: (2022)
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
by: Lorenz, Peter, et al.
Published: (2021)
by: Lorenz, Peter, et al.
Published: (2021)
Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling
by: Grabinski, Julia, et al.
Published: (2023)
by: Grabinski, Julia, et al.
Published: (2023)
How Do Training Methods Influence the Utilization of Vision Models?
by: Gavrikov, Paul, et al.
Published: (2024)
by: Gavrikov, Paul, et al.
Published: (2024)
Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration
by: Agnihotri, Shashank, et al.
Published: (2024)
by: Agnihotri, Shashank, et al.
Published: (2024)
Detecting AutoAttack Perturbations in the Frequency Domain
by: Lorenz, Peter, et al.
Published: (2021)
by: Lorenz, Peter, et al.
Published: (2021)
A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification
by: Lamm, Bianca, et al.
Published: (2025)
by: Lamm, Bianca, et al.
Published: (2025)
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail
by: Lamm, Bianca, et al.
Published: (2024)
by: Lamm, Bianca, et al.
Published: (2024)
A New Kind of Network? Review and Reference Implementation of Neural Cellular Automata
by: Spitznagel, Martin, et al.
Published: (2026)
by: Spitznagel, Martin, et al.
Published: (2026)
Retail-786k: a Large-Scale Dataset for Visual Entity Matching
by: Lamm, Bianca, et al.
Published: (2023)
by: Lamm, Bianca, et al.
Published: (2023)
Know Yourself Better: Diverse Object-Related Features Improve Open Set Recognition
by: Xu, Jiawen, et al.
Published: (2024)
by: Xu, Jiawen, et al.
Published: (2024)
Benchmarking Document Parsers on Mathematical Formula Extraction from PDFs
by: Horn, Pius, et al.
Published: (2025)
by: Horn, Pius, et al.
Published: (2025)
Can Biases in ImageNet Models Explain Generalization?
by: Gavrikov, Paul, et al.
Published: (2024)
by: Gavrikov, Paul, et al.
Published: (2024)
Urban Sound Propagation: a Benchmark for 1-Step Generative Modeling of Complex Physical Systems
by: Spitznagel, Martin, et al.
Published: (2024)
by: Spitznagel, Martin, et al.
Published: (2024)
Beyond String Matching: Semantic Evaluation of PDF Table Extraction
by: Horn, Pius, et al.
Published: (2026)
by: Horn, Pius, et al.
Published: (2026)
PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?
by: Spitznagel, Martin, et al.
Published: (2025)
by: Spitznagel, Martin, et al.
Published: (2025)
Assessing Foundation Models for Mold Colony Detection with Limited Training Data
by: Pichler, Henrik, et al.
Published: (2025)
by: Pichler, Henrik, et al.
Published: (2025)
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models
by: Müller, Patrick, et al.
Published: (2025)
by: Müller, Patrick, et al.
Published: (2025)
Corner Cases: How Size and Position of Objects Challenge ImageNet-Trained Models
by: Fatima, Mishal, et al.
Published: (2025)
by: Fatima, Mishal, et al.
Published: (2025)
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
by: Agnihotri, Shashank, et al.
Published: (2023)
by: Agnihotri, Shashank, et al.
Published: (2023)
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
by: Agnihotri, Shashank, et al.
Published: (2023)
by: Agnihotri, Shashank, et al.
Published: (2023)
Real-time Prediction of Urban Sound Propagation with Conditioned Normalizing Flows
by: Eckerle, Achim, et al.
Published: (2025)
by: Eckerle, Achim, et al.
Published: (2025)
Adversarial Examples are Misaligned in Diffusion Model Manifolds
by: Lorenz, Peter, et al.
Published: (2024)
by: Lorenz, Peter, et al.
Published: (2024)
Top-GAP: Integrating Size Priors in CNNs for more Interpretability, Robustness, and Bias Mitigation
by: Nieradzik, Lars, et al.
Published: (2024)
by: Nieradzik, Lars, et al.
Published: (2024)
Smart Eyes for Silent Threats: VLMs and In-Context Learning for THz Imaging
by: Poggi, Nicolas, et al.
Published: (2025)
by: Poggi, Nicolas, et al.
Published: (2025)
Images as Tables: In-Context Learning with TabPFN for Low-Data Detection of AI-Generated Images
by: Walter, Jan Philip, et al.
Published: (2026)
by: Walter, Jan Philip, et al.
Published: (2026)
Ambiguous Annotations: When is a Pedestrian not a Pedestrian?
by: Schwirten, Luisa, et al.
Published: (2024)
by: Schwirten, Luisa, et al.
Published: (2024)
TRIX- Trading Adversarial Fairness via Mixed Adversarial Training
by: Medi, Tejaswini, et al.
Published: (2025)
by: Medi, Tejaswini, et al.
Published: (2025)
Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks
by: Kleinmann, Marcel, et al.
Published: (2025)
by: Kleinmann, Marcel, et al.
Published: (2025)
Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation
by: Xu, Jiawen, et al.
Published: (2025)
by: Xu, Jiawen, et al.
Published: (2025)
Towards Class-wise Robustness Analysis
by: Medi, Tejaswini, et al.
Published: (2024)
by: Medi, Tejaswini, et al.
Published: (2024)
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
by: Medi, Tejaswini, et al.
Published: (2024)
by: Medi, Tejaswini, et al.
Published: (2024)
Reliable Evaluation of Attribution Maps in CNNs: A Perturbation-Based Approach
by: Nieradzik, Lars, et al.
Published: (2024)
by: Nieradzik, Lars, et al.
Published: (2024)
Can We Talk Models Into Seeing the World Differently?
by: Gavrikov, Paul, et al.
Published: (2024)
by: Gavrikov, Paul, et al.
Published: (2024)
AIM: Amending Inherent Interpretability via Self-Supervised Masking
by: Alshami, Eyad, et al.
Published: (2025)
by: Alshami, Eyad, et al.
Published: (2025)
I Spy With My Little Eye: A Minimum Cost Multicut Investigation of Dataset Frames
by: Prasse, Katharina, et al.
Published: (2024)
by: Prasse, Katharina, et al.
Published: (2024)
Local Spherical Harmonics Improve Skeleton-Based Hand Action Recognition
by: Prasse, Katharina, et al.
Published: (2023)
by: Prasse, Katharina, et al.
Published: (2023)
Foundation Models For Seismic Data Processing: An Extensive Review
by: Fuchs, Fabian, et al.
Published: (2025)
by: Fuchs, Fabian, et al.
Published: (2025)
In-Context Learning for Seismic Data Processing
by: Fuchs, Fabian, et al.
Published: (2025)
by: Fuchs, Fabian, et al.
Published: (2025)
Similar Items
-
As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain
by: Grabinski, Julia, et al.
Published: (2023) -
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection
by: Lorenz, Peter, et al.
Published: (2022) -
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
by: Lorenz, Peter, et al.
Published: (2021) -
Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling
by: Grabinski, Julia, et al.
Published: (2023) -
How Do Training Methods Influence the Utilization of Vision Models?
by: Gavrikov, Paul, et al.
Published: (2024)