AP-Attack: A Novel User Re-identification Attack On Mobility Datasets. - Mohamed Maouche; Sonia Ben Mokhtar; Sara Bouchenak (MobiQuitous, 2017)

ACCIO: How to Make Location Privacy Experimentation Open and Easy. - Vincent Primault; Mohamed Maouche; Antoine Boutet; Sonia Ben Mokhtar; Sara Bouchenak; Lionel Brunie (ICDCS, 2018)

HMC: Robust Privacy Protection of Mobility Data against Multiple Re-Identification Attacks. - Mohamed Maouche; Sonia Ben Mokhtar; Sara Bouchenak (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

MooD: MObility Data Privacy as Orphan Disease: Experimentation and Deployment Paper. - Besma Khalfoun; Mohamed Maouche; Sonia Ben Mokhtar; Sara Bouchenak (Middleware, 2019)

Protection against re-identification attacks in location privacy. (Préservation contre les attaques de ré-identification sur des données de mobilité). - Mohamed Maouche (2019)

A Comparative Study of Speech Anonymization Metrics. - Mohamed Maouche; Brij Mohan Lal Srivastava; Nathalie Vauquier; Aurélien Bellet; Marc Tommasi; Emmanuel Vincent 001 (INTERSPEECH, 2020)

Design Choices for X-Vector Based Speaker Anonymization. - Brij Mohan Lal Srivastava; Natalia A. Tomashenko; Xin Wang 037; Emmanuel Vincent 001; Junichi Yamagishi; Mohamed Maouche; Aurélien Bellet; Marc Tommasi (INTERSPEECH, 2020)

Enhancing Speech Privacy with Slicing. - Mohamed Maouche; Brij Mohan Lal Srivastava; Nathalie Vauquier; Aurélien Bellet; Marc Tommasi; Emmanuel Vincent 001 (INTERSPEECH, 2022)

The VoicePrivacy 2020 Challenge: Results and findings. - Natalia A. Tomashenko; Xin Wang 037; Emmanuel Vincent 001; Jose Patino 001; Brij Mohan Lal Srivastava; Paul-Gauthier Noé; Andreas Nautsch; Nicholas W. D. Evans; Junichi Yamagishi; Benjamin O'Brien; Anaïs Chanclu; Jean-François Bonastre; et al. (Comput. Speech Lang., 2022)

Privacy and Utility of X-Vector Based Speaker Anonymization. - Brij Mohan Lal Srivastava; Mohamed Maouche; Md. Sahidullah; Emmanuel Vincent 001; Aurélien Bellet; Marc Tommasi; Natalia A. Tomashenko; Xin Wang 037; Junichi Yamagishi (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Towards an evolution in the characterization of the risk of re-identification of medical images. - Antoine Boutet; Carole Frindel; Mohamed Maouche (IEEE Big Data, 2023)

Community Detection Attack against Collaborative Learning-based Recommender Systems. - Yacine Belal; Sonia Ben Mokhtar; Mohamed Maouche; Anthony Simonet-Boulogne (CoRR, 2023)

Differentially Private Speaker Anonymization. - Ali Shahin Shamsabadi; Brij Mohan Lal Srivastava; Aurélien Bellet; Nathalie Vauquier; Emmanuel Vincent 001; Mohamed Maouche; Marc Tommasi; Nicolas Papernot (Proc. Priv. Enhancing Technol., 2023)

Synthetic Data: Generate Avatar Data on Demand. - Thomas Lebrun; Louis Béziaud; Tristan Allard; Antoine Boutet; Sébastien Gambs; Mohamed Maouche (WISE (5), 2024)

Differentially private and decentralized randomized power method. - Julien Nicolas; César Sabater; Mohamed Maouche; Sonia Ben Mokhtar; Mark Coates (CoRR, 2024)

Scrutinizing the Vulnerability of Decentralized Learning to Membership Inference Attacks. - Ousmane Touat; Jezekael Brunon; Yacine Belal; Julien Nicolas; Mohamed Maouche; César Sabater; Sonia Ben Mokhtar (CoRR, 2024)

Secure Federated Graph-Filtering for Recommender Systems. - Julien Nicolas; César Sabater; Mohamed Maouche; Sonia Ben Mokhtar; Mark Coates (CoRR, 2025)

GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework. - Yacine Belal; Mohamed Maouche; Sonia Ben Mokhtar; Anthony Simonet-Boulogne (CoRR, 2025)

Communication Efficient, Differentially Private Distributed Optimization using Correlation-Aware Sketching. - Julien Nicolas; Mohamed Maouche; Sonia Ben Mokhtar; Mark Coates (CoRR, 2025)