6 citations · 7 across the 6 of their papers we have counts for
6 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…
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…
Pick the Largest Margin for Robust Detection of Splicing
Julien Simon de Kergunic, Rony Abecidan, Patrick Bas +1
Despite advancements in splicing detection, practitioners still struggle to fully leverage forensic tools from the literature due to a critical issue: deep learning-based detectors…
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…
Using Set Covering to Generate Databases for Holistic Steganalysis
Rony Abecidan, Vincent Itier, Jérémie Boulanger +2
Within an operational framework, covers used by a steganographer are likely to come from different sensors and different processing pipelines than the ones used by researchers for…