2 papers
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…
eess.SP2024
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…