Jonas Ricker, M.Sc.

Research Interests

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

Publications

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