Search Results for author: Mounia Hamidouche

Found 5 papers, 1 papers with code

Enhancing IoT Security via Automatic Network Traffic Analysis: The Transition from Machine Learning to Deep Learning

no code implementations20 Nov 2023 Mounia Hamidouche, Eugeny Popko, Bassem Ouni

This work provides a comparative analysis illustrating how Deep Learning (DL) surpasses Machine Learning (ML) in addressing tasks within Internet of Things (IoT), such as attack classification and device-type identification.

White-box Membership Attack Against Machine Learning Based Retinopathy Classification

no code implementations30 May 2022 Mounia Hamidouche, Reda Bellafqira, Gwenolé Quellec, Gouenou Coatrieux

From a privacy perspective in our use case where a diabetic retinopathy classification model is given to partners that have at their disposal images along with patients' identifiers, inferring the membership status of a data sample can help to state if a patient has contributed or not to the training of the model.

BIG-bench Machine Learning Inference Attack +2

Graphs as Tools to Improve Deep Learning Methods

no code implementations8 Oct 2021 Carlos Lassance, Myriam Bontonou, Mounia Hamidouche, Bastien Pasdeloup, Lucas Drumetz, Vincent Gripon

This chapter is composed of four main parts: tools for visualizing intermediate layers in a DNN, denoising data representations, optimizing graph objective functions and regularizing the learning process.

Denoising

Ranking Deep Learning Generalization using Label Variation in Latent Geometry Graphs

1 code implementation25 Nov 2020 Carlos Lassance, Louis Béthune, Myriam Bontonou, Mounia Hamidouche, Vincent Gripon

Measuring the generalization performance of a Deep Neural Network (DNN) without relying on a validation set is a difficult task.

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