1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
DinoLizer: Separating VAE and Diffusion Artifacts in Generative Inpainting Localization
Minh Thong Doi, Vincent Itier, Jan Butora +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…
Blind Data Adaptation to tackle Covariate Shift in Operational Steganalysis
Rony Abecidan, Vincent Itier, Jérémie Boulanger +2
The proliferation of image manipulation for unethical purposes poses significant challenges in social networks. One particularly concerning method is Image Steganography, allowing…
Leveraging Data Geometry to Mitigate CSM in Steganalysis
Rony Abecidan, Vincent Itier, Jérémie Boulanger +2
In operational scenarios, steganographers use sets of covers from various sensors and processing pipelines that differ significantly from those used by researchers to train stegana…