Cost function based event triggered Model Predictive Controllers application to Big Data Cloud services. - Sophie Cerf; Mihaly Berekmeri; Bogdan Robu; Nicolas Marchand; Sara Bouchenak (CDC, 2016)

Toward an Easy Configuration of Location Privacy Protection Mechanisms. - Sophie Cerf; Bogdan Robu; Nicolas Marchand; Antoine Boutet; Vincent Primault; Sonia Ben Mokhtar; Sara Bouchenak (Middleware Posters and Demos, 2016)

PULP: Achieving Privacy and Utility Trade-Off in User Mobility Data. - Sophie Cerf; Vincent Primault; Antoine Boutet; Sonia Ben Mokhtar; Robert Birke; Sara Bouchenak; Lydia Y. Chen; Nicolas Marchand; Bogdan Robu (SRDS, 2017)

A Control-Theoretic Approach for Location Privacy in Mobile Applications. - Sophie Cerf; Bogdan Robu; Nicolas Marchand; Sonia Ben Mokhtar; Sara Bouchenak (CCTA, 2018)

Dynamic Modeling of Location Privacy Protection Mechanisms. - Sophie Cerf; Sonia Ben Mokhtar; Sara Bouchenak; Nicolas Marchand; Bogdan Robu (DAIS, 2018)

Can Adaptive Feedforward Control Improve Operation of Cloud Services? - Ioan Doré Landau; Jaime Saavedra; Sophie Cerf; Bogdan Robu; Nicolas Marchand; Sara Bouchenak (MED, 2018)

Feedback Control for Online Training of Neural Networks. - Zilong Zhao 001; Sophie Cerf; Bogdan Robu; Nicolas Marchand (CCTA, 2019)

Robust Anomaly Detection on Unreliable Data. - Zilong Zhao 001; Sophie Cerf; Robert Birke; Bogdan Robu; Sara Bouchenak; Sonia Ben Mokhtar; Lydia Y. Chen (DSN, 2019)

Control Theory for Computing Systems: Application to big-data cloud services & location privacy protection. (Contrôle des systèmes informatiques: application aux services clouds et à la protection de vie privée). - Sophie Cerf (2019)

Event-Based Control for Online Training of Neural Networks. - Zilong Zhao 001; Sophie Cerf; Bogdan Robu; Nicolas Marchand (IEEE Control. Syst. Lett., 2020)

Sustaining Performance While Reducing Energy Consumption: A Control Theory Approach. - Sophie Cerf; Raphaël Bleuse; Valentin Reis; Swann Perarnau; Éric Rutten (Euro-Par, 2021)

Automatic Privacy and Utility Preservation for Mobility Data: A Nonlinear Model-Based Approach. - Sophie Cerf; Sara Bouchenak; Bogdan Robu; Nicolas Marchand; Vincent Primault; Sonia Ben Mokhtar; Antoine Boutet; Lydia Y. Chen (IEEE Trans. Dependable Secur. Comput., 2021)

Adaptive Power Control for Sober High-Performance Computing. - Ismail Hawila; Sophie Cerf; Raphaël Bleuse; Swann Perarnau; Éric Rutten (CCTA, 2022)

A robust control-theory-based exploration strategy in deep reinforcement learning for virtual network embedding. - Ghina Dandachi; Sophie Cerf; Yassine Hadjadj-Aoul; Abdelkader Outtagarts; Éric Rutten (Comput. Networks, 2022)

React to the Worst: Lightweight and Proactive Protection of Location Privacy. - Emilio Molina; Mirko Fiacchini; Sophie Cerf; Bogdan Robu (IEEE Control. Syst. Lett., 2023)

Under Control: A Control Theory Introduction for Computer Scientists. - Quentin Guilloteau; Sophie Cerf; Raphaël Bleuse; Bogdan Robu; Éric Rutten (ACSOS-C, 2024)

Making Control in High Performance Computing for Overload Avoidance Adaptive in Time and Job Size. - Rosa Pagano; Sophie Cerf; Bogdan Robu; Quentin Guilloteau; Raphaël Bleuse; Éric Rutten (CCTA, 2024)