Mohamed Maouche

Mohamed Maouche

Post-doc at Inria in Magnet team

PhD from INSA-Lyon with LIRIS Lab

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About Me

I'm Mohamed Maouche, I am currently working on private machine learning for speech processing at Inria in the Magnet Team (MAchine learninG in information NETworks). I have receivied a PhD in computer science from INSA-Lyon France in 2019 (working on location privacy).

My main interest is to build machine learning systems that manages a good trade-off between privacy and utility. I explore anonymization techniques and re-identification threats on different data types and application structures.

Professional Experience

Inria

Post-doc - Inria
2019 - Present

Working on private machine learning for speech processing along side Aurélien Bellet, Marc Tommasi and Emmanuel Vincent.

INSA-Lyon

Teacher - INSA-Lyon
2016 - 2019

Teaches computer science in the computer science department of INSA-Lyon (Dept. IF) and in the first cycle department (Dept PC).

INSA-Lyon

PhD Student - INSA-Lyon with LIRIS Lab
2016 - 2019

In the fields of Data Science, Security and Privacy. Working on Location Privacy and more precisely on re-identification attacks and obfuscation techniques.

INSA-Lyon

Research Intern - Université de Technologie de Compiègne - UTC with Heudiasyc Lab
January 2016 - June 2016

In the field of Optimization in Operations research. Working on the Vehicle Routing Problem (VRP) and the Robust VRP with Time windows constraints.

CDTA

Intern - Centre de Développement des Technologies Avancées of Algiers - CDTA
June 2014 - August 2014

Study of a formal method designed by a research team in the University of Queensland (Australia) which purpose was to transform a BPMN model into a Petri network.

Developped Software

Anonymization Metrics

This toolkit encapsulates multiple python implementations of anonymization metrics from the state of the art.

ILL-Attack

A re-identification attack based on learning from multiple past behaviours to re-identify short mobility traces.

HMC

Location Privacy Protection Mechanism HMC (Heat Map Confusion). To protect mobility trace against re-identification attack using heat map profile transformation while maintaining utility.

SFERA

Experiment on re-identification attack on mobility data (AP-Attack, POI-Attack...).

Technical Skills

Advanced Programming Languages

Python (scikit-learn, scipy), Java, Scala, C/C++

Web Languages

HTML, JavaScript, XML, XSL, XPath, XQuery...

System, Network and Database Administration

Linux, MySQL, MongoDB, IOS (cisco)