3 citations · 7 across the 7 of their papers we have counts for
7 papers · 1 filter
FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning
Mehdi Ben Ghali, Gouenou Coatrieux, Reda Bellafqira
Federated Learning (FL) enables clients to collaboratively train a global model using their local datasets while reinforcing data privacy, but it is prone to poisoning attacks. Exi…
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection
Mohammed Lansari, Reda Bellafqira, Katarzyna Kapusta +3
Federated Learning (FL) is a technique that allows multiple participants to collaboratively train a Deep Neural Network (DNN) without the need of centralizing their data. Among oth…
DICTION:DynamIC robusT whIte bOx watermarkiNg scheme for deep neural networks
Reda Bellafqira, Gouenou Coatrieux
Deep neural network (DNN) watermarking is a suitable method for protecting the ownership of deep learning (DL) models. It secretly embeds an identifier (watermark) within the model…
White-box Membership Attack Against Machine Learning Based Retinopathy Classification
Mounia Hamidouche, Reda Bellafqira, Gwenolé Quellec +1
The advances in machine learning (ML) have greatly improved AI-based diagnosis aid systems in medical imaging. However, being based on collecting medical data specific to individua…
Secure Multilayer Perceptron Based On Homomorphic Encryption
Reda Bellafqira, Gouenou Coatrieux, Emmanuelle Genin +1
In this work, we propose an outsourced Secure Multilayer Perceptron (SMLP) scheme where privacy and confidentiality of both the data and the model are ensured during the training a…
Sharing Data Homomorphically Encrypted with Different Encryption Keys
Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi +2
In this paper, we propose the first homomorphic based proxy re-encryption (HPRE) solution that allows different users to share data they outsourced homomorphically encrypted using…
Secured Outsourced Content Based Image Retrieval Based on Encrypted Signatures Extracted From Homomorphically Encrypted Images
Reda Bellafqira, Gouenou Coatrieux, Dalel Bouslimi +2
In this paper, we present a novel Secured Outsourced Content Based Image Retrieval solution, which allows looking for similar images stored into the cloud in a homomorphically encr…