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Raouf Kerkouche
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2020 – today
- 2024
- [j2]Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz:
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations. Proc. Priv. Enhancing Technol. 2024(3): 372-390 (2024) - [j1]Dingfan Chen, Raouf Kerkouche, Mario Fritz:
A Unified View of Differentially Private Deep Generative Modeling. Trans. Mach. Learn. Res. 2024 (2024) - [c9]Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Joonas Jälkö, Vincent Poulain D'Andecy, Aurélie Joseph, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas:
Privacy-Aware Document Visual Question Answering. ICDAR (6) 2024: 199-218 - [c8]Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Private and Collaborative Kaplan-Meier Estimators. WPES@CCS 2024: 212-241 - [i11]Dingfan Chen, Marie Oestreich, Tejumade Afonja, Raouf Kerkouche, Matthias Becker, Mario Fritz:
Towards Biologically Plausible and Private Gene Expression Data Generation. CoRR abs/2402.04912 (2024) - 2023
- [c7]Raouf Kerkouche
, Gergely Ács
Client-specific Property Inference against Secure Aggregation in Federated Learning. WPES@CCS 2023: 45-60 - [i10]Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz:
Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy. CoRR abs/2302.01068 (2023) - [i9]Raouf Kerkouche, Gergely Ács, Mario Fritz:
Client-specific Property Inference against Secure Aggregation in Federated Learning. CoRR abs/2303.03908 (2023) - [i8]Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Private and Collaborative Kaplan-Meier Estimators. CoRR abs/2305.15359 (2023) - [i7]Dingfan Chen, Raouf Kerkouche, Mario Fritz:
A Unified View of Differentially Private Deep Generative Modeling. CoRR abs/2309.15696 (2023) - [i6]Rubèn Tito, Khanh Nguyen, Marlon Tobaben, Raouf Kerkouche, Mohamed Ali Souibgui, Kangsoo Jung, Lei Kang, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas:
Privacy-Aware Document Visual Question Answering. CoRR abs/2312.10108 (2023) - 2022
- [c6]Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data. CHIL 2022: 411-425 - [c5]Dingfan Chen, Raouf Kerkouche, Mario Fritz:
Private Set Generation with Discriminative Information. NeurIPS 2022 - [i5]Shadi Rahimian, Raouf Kerkouche, Ina Kurth, Mario Fritz:
Practical Challenges in Differentially-Private Federated Survival Analysis of Medical Data. CoRR abs/2202.03758 (2022) - [i4]Dingfan Chen, Raouf Kerkouche, Mario Fritz:
Private Set Generation with Discriminative Information. CoRR abs/2211.04446 (2022) - 2021
- [b1]Raouf Kerkouche:
Differentially Private Federated Learning for Bandwidth and Energy Constrained Environments. (Apprentissage fédéré avec confidentialité différentielle pour les environnements contraints en bande passante et énergie). Grenoble Alpes University, France, 2021 - [c4]Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
Privacy-preserving and bandwidth-efficient federated learning: an application to in-hospital mortality prediction. CHIL 2021: 25-35 - [c3]Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
Compression Boosts Differentially Private Federated Learning. EuroS&P 2021: 304-318 - [c2]Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
Constrained differentially private federated learning for low-bandwidth devices. UAI 2021: 1756-1765 - [i3]Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
Constrained Differentially Private Federated Learning for Low-bandwidth Devices. CoRR abs/2103.00342 (2021) - 2020
- [i2]Raouf Kerkouche, Gergely Ács, Claude Castelluccia:
Federated Learning in Adversarial Settings. CoRR abs/2010.07808 (2020) - [i1]Raouf Kerkouche, Gergely Ács, Claude Castelluccia, Pierre Genevès:
Compression Boosts Differentially Private Federated Learning. CoRR abs/2011.05578 (2020)
2010 – 2019
- 2018
- [c1]Raouf Kerkouche, Réda Alami, Raphaël Féraud, Nadège Varsier, Patrick Maillé
Node-based optimization of LoRa transmissions with Multi-Armed Bandit algorithms. ICT 2018: 521-526
Coauthor Index
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