collaborators

5 papers

cs.CV2026

The Forensic Cost of Watermark Removal: From Dedicated Attacks to Image Editing

Gautier Evennou, Ewa Kijak

Current watermark removal methods are evaluated on two axes: attack success rate and perceptual quality. We show this is insufficient. While state-of-the-art attacks successfully d…

cs.CV2025

Reframing Image Difference Captioning with BLIP2IDC and Synthetic Augmentation

Gautier Evennou, Antoine Chaffin, Vivien Chappelier +1

The rise of the generative models quality during the past years enabled the generation of edited variations of images at an important scale. To counter the harmful effects of such…

cs.CR2025

SWIFT: Semantic Watermarking for Image Forgery Thwarting

Gautier Evennou, Vivien Chappelier, Ewa Kijak +1

This paper proposes a novel approach towards image authentication and tampering detection by using watermarking as a communication channel for semantic information. We modify the H…

cs.CR2025

Fast, Secure, and High-Capacity Image Watermarking with Autoencoded Text Vectors

Gautier Evennou, Vivien Chappelier, Ewa Kijak

Most image watermarking systems focus on robustness, capacity, and imperceptibility while treating the embedded payload as meaningless bits. This bit-centric view imposes a hard ce…

cs.CV2025

Flyweight FLIM Networks for Salient Object Detection in Biomedical Images

Leonardo M. Joao, Jancarlo F. Gomes, Silvio J. F. Guimaraes +2

Salient Object Detection (SOD) with deep learning often requires substantial computational resources and large annotated datasets, making it impractical for resource-constrained ap…