4 citations · 13 across the 11 of their papers we have counts for
11 papers
Synchronized DNA sources for unconditionally secure cryptography
Sandra Jaudou, Hélène Gasnier, Elias Boudjella +11
Secure communication is the cornerstone of modern infrastructures, yet achieving unconditional security -resistant to any computational attack- remains a fundamental challenge. The…
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…
Two-stage multi-scale breast mass segmentation for full mammogram analysis without user intervention
Yutong Yan, Pierre-Henri Conze, Gwenolé Quellec +3
Mammography is the primary imaging modality used for early detection and diagnosis of breast cancer. X-ray mammogram analysis mainly refers to the localization of suspicious region…
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…
Advances in Security in Computing and Communications
Jaydip Sen, Javier Franco-Contreras, Gouenou Coatrieux +15
In the era of Internet of Things (IoT) and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such humongous…
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…
Real-time analysis of cataract surgery videos using statistical models
Katia Charrière, Gwenolé Quellec, Mathieu Lamard +4
The automatic analysis of the surgical process, from videos recorded during surgeries, could be very useful to surgeons, both for training and for acquiring new techniques. The tra…