Single-Model Attribution via Final-Layer Inversion. - Mike Laszkiewicz; Jonas Ricker; Johannes Lederer; Asja Fischer (CoRR, 2023)

Towards the Detection of Diffusion Model Deepfakes (Dataset). - Jonas Ricker; Simon Damm; Thorsten Holz; Asja Fischer (Zenodo, 2023)

AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error. - Jonas Ricker; Denis Lukovnikov; Asja Fischer (CVPR, 2024)

Single-Model Attribution of Generative Models Through Final-Layer Inversion. - Mike Laszkiewicz; Jonas Ricker; Johannes Lederer; Asja Fischer (ICML, 2024)

AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images. - Jonas Ricker; Dennis Assenmacher; Thorsten Holz; Asja Fischer; Erwin Quiring (RAID, 2024)

A Representative Study on Human Detection of Artificially Generated Media Across Countries. - Joel Frank; Franziska Herbert; Jonas Ricker; Lea Schönherr; Thorsten Eisenhofer; Asja Fischer; Markus Dürmuth; Thorsten Holz (SP, 2024)

Towards the Detection of Diffusion Model Deepfakes. - Jonas Ricker; Simon Damm; Thorsten Holz; Asja Fischer (VISIGRAPP (4): VISAPP, 2024)

Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors. - Sina Mavali; Jonas Ricker; David Pape; Yash Sharma; Asja Fischer; Lea Schönherr (CoRR, 2024)

Towards the Detection of Diffusion Model Deepfakes (Additional Datasets). - Jonas Ricker; Simon Damm; Thorsten Holz; Asja Fischer (Zenodo, 2024)

Security Benefits and Side Effects of Labeling AI-Generated Images. - Sandra Höltervennhoff; Jonas Ricker; Maike M. Raphael; Charlotte Schwedes; Rebecca Weil; Asja Fischer; Thorsten Holz; Lea Schönherr; Sascha Fahl (CoRR, 2025)

RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors. - Hicham Eddoubi; Jonas Ricker; Federico Cocchi; Lorenzo Baraldi 001; Angelo Sotgiu; Maura Pintor; Marcella Cornia; Lorenzo Baraldi 002; Asja Fischer; Rita Cucchiara; Battista Biggio (CoRR, 2025)