3 papers
cs.CL2026
Feature-Augmented Transformers for Robust AI-Text Detection Across Domains and Generators
Mohamed Mady, Johannes Reschke, Björn Schuller
AI-generated text is nowadays produced at scale across domains and heterogeneous generation pipelines, making robustness to distribution shift a central requirement for supervised…
cs.CV2025
Tackling fake images in cybersecurity -- Interpretation of a StyleGAN and lifting its black-box
Julia Laubmann, Johannes Reschke
In today's digital age, concerns about the dangers of AI-generated images are increasingly common. One powerful tool in this domain is StyleGAN (style-based generative adversarial…
cs.CV2025
Deepfake Detection of Face Images based on a Convolutional Neural Network
Lukas KroiÃ, Johannes Reschke
Fake News and especially deepfakes (generated, non-real image or video content) have become a serious topic over the last years. With the emergence of machine learning algorithms i…