3 papers
eess.IV2026
Tackle CSM in JPEG Steganalysis with Data Adaptation
Rony Abecidan, Vincent Itier, Jérémie Boulanger +2
Steganalysis models excel on benchmark datasets but struggle in the wild when analyzed images are produced by a processing pipeline unseen during training. This problem known as Co…
cs.CV2025
DinoLizer: Separating VAE and Diffusion Artifacts in Generative Inpainting Localization
Minh Thong Doi, Jan Butora, Vincent Itier +2
We introduce DinoLizer, a DINOv2-based localizer of manipulated areas in generative inpainting. The model is trained to focus on semantically altered regions by treating reconstruc…
cs.LG2025
Maximize margins for robust splicing detection
Julien Simon de Kergunic, Rony Abecidan, Patrick Bas +1
Despite recent progress in splicing detection, deep learning-based forensic tools remain difficult to deploy in practice due to their high sensitivity to training conditions. Even…