When Federated Learning Meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection. - Mohammed Lansari; Reda Bellafqira; Katarzyna Kapusta; Vincent Thouvenot; Olivier Bettan; Gouenou Coatrieux (Mach. Learn. Knowl. Extr., 2023)

A White-Box Watermarking Modulation for Encrypted DNN in Homomorphic Federated Learning. - Mohammed Lansari; Reda Bellafqira; Katarzyna Kapusta; Vincent Thouvenot; Olivier Bettan; Gouenou Coatrieux (SECRYPT, 2024)

FedCAM - Identifying Malicious Models in Federated Learning Environments Conditionally to Their Activation Maps. - Reda Bellafqira; Gouenou Coatrieux; Mohammed Lansari; Jilo Chala (WONS, 2024)

Protecting ownership rights of ML models using watermarking in the light of adversarial attacks. - Katarzyna Kapusta; Lucas Mattioli; Boussad Addad; Mohammed Lansari (AI Ethics, 2024)

RoSe-Mix: Robust and Secure Deep Neural Network Watermarking in Black-Box Settings via Image Mixup. - Tamara El Hajjar; Mohammed Lansari; Reda Bellafqira; Gouenou Coatrieux; Katarzyna Kapusta; Kassem Kallas (Mach. Learn. Knowl. Extr., 2025)