PhD "Machine Unlearning for attack mitigation in federated learning" M/F
Orange
- France
- CDI
- Temps-plein
- Motivations and Context
- Scientific Objective
- the suppression of the attacker's contribution in a model (unlearning).
- Strong skills in Machine Learning from a theoretical and practical point of view
- Mastering algorithms and python programing (scikit-learn, tensorflow, pytorch, etc.)
- Interest for cybersecurity
- Ability to read and understand scientific articles written in English
- Autonomy, rigor, curiosity, dedication, persistence and initiative are highly recommended qualities for completing a doctorate
- Research Master or engineering degree in computer science/applied mathematics with a specialization in Data-Science
- One or more research internships completed in the fields of Machine Learning and Deep Learning
[2] Enisa, “Securing Machine Learning Algorithm”, 2021, https://www.enisa.europa.eu/publications/securing-machine-learning-algorithms
[3] Schwarzschild at al., “Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks”, 2020
[4] McMahan et al., “Communication-Efficient Learning of Deep Networks from Decentralized Data”, 2016
[5] Bagdasaryan et al., “How To Backdoor Federated Learning”, 2018
[6] Fraboni et al., “Sequential Informed Federated Unlearning: Efficient and Provable Client Unlearning in Federated Optimization”, 2022
[7] Liu et al., “Federated Unlearning”, 2020
[8] Halimi et al., “Federated Unlearning: How to Efficiently Erase a Client in FL?”, 2022
[9] Chen et al., “Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering”, 2018departmentOrange Innovation brings together the research and innovation activities and expertise of the Group's entities and countries. We work every day to ensure that Orange is recognized as an innovative operator by its customers, and we create value for the Group and the Brand in each of our projects. With 720 researchers, thousands of marketers, developers, designers and data analysts, it is the expertise of our 6,000 employees that fuels this ambition every day.Orange Innovation anticipates technological breakthroughs and supports the Group's countries and entities in making the best technological choices to meet the needs of our consumer and business customers.Within Orange Innovation, you will join the MORE (Mathematical Models for Optimization and peRformance Evaluation) team which has around ten permanent engineers/researchers whose mission is to develop models and techniques to optimize the quality and performance of Orange group services. The team is also made up of around ten doctoral students, apprentices, and interns. You will thus be part of a research ecosystem alongside operational units, with the aim of developing algorithms at the cutting edge of innovation.contractThesis