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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…
cs.LG2023★ 1 cited
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…