Jonas Ricker, M.Sc.

Research Interests

  • Deepfake detection and multimedia forensics
  • Security implications of generative AI
  • Machine learning security

Publications

2026

Simon Damm, Jonas Ricker, Henning Petzka, Asja Fischer

PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images Proceedings Article

In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings, 2026.

Links

Sandra Höltervennhoff, Jonas Ricker, Maike M. Raphael, Charlotte Schwedes, Rebecca Weil, Asja Fischer, Thorsten Holz, Lea Schönherr, Sascha Fahl

"That's another doom I haven't thought about": A User Study on AI Labels as a Safeguard Against Image-Based Misinformation Proceedings Article

In: CHI Conference on Human Factors in Computing Systems (CHI), 2026.

Links

2025

Hicham Eddoubi, Jonas Ricker, Federico Cocchi, Lorenzo Baraldi, Angelo Sotgiu, Maura Pintor, Marcella Cornia, Lorenzo Baraldi, Asja Fischer, Rita Cucchiara, Battista Biggio

RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors Artikel

In: arXiv Preprint, 2025.

Links

2024

Joel Frank, Franziska Herbert, Jonas Ricker, Lea Schönherr, Thorsten Eisenhofer, Asja Fischer, Markus Dürmuth, Thorsten Holz

A Representative Study on Human Detection of Artificially Generated Media Across Countries Proceedings Article

In: IEEE Symposium on Security and Privacy (SP), 2024.

Links

Mike Laszkiewicz, Jonas Ricker, Johannes Lederer, Asja Fischer

Single-Model Attribution of Generative Models Through Final-Layer Inversion Proceedings Article

In: International Conference on Machine Learning (ICML), 2024.

Links

Sina Mavali, Jonas Ricker, David Pape, Asja Fischer, Lea Schönherr

Adversarial Robustness of AI-Generated Image Detectors in the Real World Artikel

In: arXiv Preprint, 2024.

Links

Jonas Ricker, Dennis Assenmacher, Thorsten Holz, Asja Fischer, Erwin Quiring

AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images Proceedings Article

In: International Symposium on Research in Attacks, Intrusions and Defenses (RAID), 2024.

Links

Jonas Ricker, Simon Damm, Thorsten Holz, Asja Fischer

Towards the Detection of Diffusion Model Deepfakes Proceedings Article

In: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), 2024.

Links

Jonas Ricker, Denis Lukovnikov, Asja Fischer

AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error Proceedings Article

In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

Links