Raouf Kerkouche

According to our database, Raouf Kerkouche authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Biologically Plausible and Private Gene Expression Data Generation.

Dingfan Chen, Marie Oestreich, Tejumade Afonja, Raouf Kerkouche, Matthias Becker, Mario Fritz

CoRR, 2024

2023

Privacy-Aware Document Visual Question Answering.

Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas

CoRR, 2023

A Unified View of Differentially Private Deep Generative Modeling.

Dingfan Chen, Raouf Kerkouche, Mario Fritz

CoRR, 2023

Private and Collaborative Kaplan-Meier Estimators.

Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz

CoRR, 2023

Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy.

Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz

CoRR, 2023

Client-specific Property Inference against Secure Aggregation in Federated Learning.

Raouf Kerkouche, Gergely Ács, Mario Fritz

Proceedings of the 22nd Workshop on Privacy in the Electronic Society, 2023

2022

Private Set Generation with Discriminative Information.

Dingfan Chen, Raouf Kerkouche, Mario Fritz

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data.

Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz

Proceedings of the Conference on Health, Inference, and Learning, 2022

2021

Differentially Private Federated Learning for Bandwidth and Energy Constrained Environments. (Apprentissage fédéré avec confidentialité différentielle pour les environnements contraints en bande passante et énergie).

Raouf Kerkouche

PhD thesis, 2021

Constrained differentially private federated learning for low-bandwidth devices.

Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Compression Boosts Differentially Private Federated Learning.

Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès

Proceedings of the IEEE European Symposium on Security and Privacy, 2021

Privacy-preserving and bandwidth-efficient federated learning: an application to in-hospital mortality prediction.

Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

Federated Learning in Adversarial Settings.

Raouf Kerkouche, Gergely Ács, Claude Castelluccia

CoRR, 2020

2018

Node-based optimization of LoRa transmissions with Multi-Armed Bandit algorithms.

Raouf Kerkouche, Réda Alami, Raphaël Féraud, Nadège Varsier, Patrick Maillé

Proceedings of the 25th International Conference on Telecommunications, 2018