Jonas Ricker

Orcid: 0000-0002-7186-3634

According to our database1, Jonas Ricker authored at least 14 papers between 2023 and 2026.

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Bibliography

2026
SAMSEM - A Generic and Scalable Approach for IC Metal Line Segmentation.
CoRR, March, 2026

"That's another doom I haven't thought about": A User Study on AI Labels as a Safeguard Against Image-Based Misinformation.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025
PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images.
CoRR, November, 2025

RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors.
CoRR, June, 2025

Security Benefits and Side Effects of Labeling AI-Generated Images.
CoRR, May, 2025

2024
Towards the Detection of Diffusion Model Deepfakes (Additional Datasets).
Dataset, January, 2024

Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors.
CoRR, 2024

Towards the Detection of Diffusion Model Deepfakes.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

A Representative Study on Human Detection of Artificially Generated Media Across Countries.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images.
Proceedings of the 27th International Symposium on Research in Attacks, 2024

Single-Model Attribution of Generative Models Through Final-Layer Inversion.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Towards the Detection of Diffusion Model Deepfakes (Dataset).
Dataset, January, 2023

Single-Model Attribution via Final-Layer Inversion.
CoRR, 2023


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