Kerkouche, Raouf

7 publications

TMLR 2025 DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche, Mario Fritz

ICLR 2025 DocMIA: Document-Level Membership Inference Attacks Against DocVQA Models Khanh Nguyen, Raouf Kerkouche, Mario Fritz, Dimosthenis Karatzas

TMLR 2025 NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben, Mohamed Ali Souibgui, Rubèn Tito, Khanh Nguyen, Raouf Kerkouche, Kangsoo Jung, Joonas Jälkö, Lei Kang, Andrey Barsky, Vincent Poulain d'Andecy, Aurélie Joseph, Aashiq Muhamed, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Llados, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas

TMLR 2024 A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen, Raouf Kerkouche, Mario Fritz

CHIL 2022 Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz

NeurIPS 2022 Private Set Generation with Discriminative Information Dingfan Chen, Raouf Kerkouche, Mario Fritz

UAI 2021 Constrained Differentially Private Federated Learning for Low-Bandwidth Devices Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès