Steganalysis into the Wild: How to Define a Source? - Quentin Giboulot; Rémi Cogranne; Patrick Bas (Media Watermarking, Security, and Forensics, 2018)

The ALASKA Steganalysis Challenge: A First Step Towards Steganalysis. - Rémi Cogranne; Quentin Giboulot; Patrick Bas (IH&MMSec, 2019)

Breaking ALASKA: Color Separation for Steganalysis in JPEG Domain. - Yassine Yousfi; Jan Butora; Jessica J. Fridrich; Quentin Giboulot (IH&MMSec, 2019)

Payload Scaling for Adaptive Steganography: An Empirical Study. - Quentin Giboulot; Jessica J. Fridrich (IEEE Signal Process. Lett., 2019)

JPEG Steganography with Side Information from the Processing Pipeline. - Quentin Giboulot; Rémi Cogranne; Patrick Bas (ICASSP, 2020)

Steganography by Minimizing Statistical Detectability: The cases of JPEG and Color Images. - Rémi Cogranne; Quentin Giboulot; Patrick Bas (IH&MMSec, 2020)

ALASKA#2: Challenging Academic Research on Steganalysis with Realistic Images. - Rémi Cogranne; Quentin Giboulot; Patrick Bas (WIFS, 2020)

Synchronization Minimizing Statistical Detectability for Side-Informed JPEG Steganography. - Quentin Giboulot; Patrick Bas; Rémi Cogranne (WIFS, 2020)

Effects and solutions of Cover-Source Mismatch in image steganalysis. - Quentin Giboulot; Rémi Cogranne; Dirk Borghys; Patrick Bas (Signal Process. Image Commun., 2020)

Detectability-Based JPEG Steganography Modeling the Processing Pipeline: The Noise-Content Trade-off. - Quentin Giboulot; Rémi Cogranne; Patrick Bas (IEEE Trans. Inf. Forensics Secur., 2021)

The Cover Source Mismatch Problem in Deep-Learning Steganalysis. - Quentin Giboulot; Patrick Bas; Rémi Cogranne; Dirk Borghys (EUSIPCO, 2022)

Efficient Steganography in JPEG Images by Minimizing Performance of Optimal Detector. - Rémi Cogranne; Quentin Giboulot; Patrick Bas (IEEE Trans. Inf. Forensics Secur., 2022)

Multivariate Side-Informed Gaussian Embedding Minimizing Statistical Detectability. - Quentin Giboulot; Patrick Bas; Rémi Cogranne (IEEE Trans. Inf. Forensics Secur., 2022)

Statistical Steganography based on a Sensor Noise Model using the Processing Pipeline. (Stéganographie statistique fondée sur un modèle de bruit utilisant la chaine de développement d'image). - Quentin Giboulot (2022)

The Non-Zero-Sum Game of Steganography in Heterogeneous Environments. - Quentin Giboulot; Tomás Pevný; Andrew D. Ker (IEEE Trans. Inf. Forensics Secur., 2023)

WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off. - Eva Giboulot; Teddy Furon (NeurIPS, 2024)

When does gradient estimation improve black-box adversarial attacks? - Enoal Gesny; Eva Giboulot; Teddy Furon (WIFS, 2024)

Evaluating the security of public surrogate watermark detectors. - Chloé Imadache; Eva Giboulot; Teddy Furon (ICASSP, 2025)