Anne Josiane Kouam
User data privacy . Machine learning for security & privacy . Mobile networking . Adversarial machine learning . Behavioral analysis
Inria Saclay, TRIBE team
1 Rue Honoré d'Estienne d'Orves, 91120 Palaiseau
I am a researcher (starting researcher position) in the TRIBE team at Inria Saclay, contributing to the national research program PEPR MOBIDEC. I am also an associate researcher in the Machine Learning and Security group at TU Berlin, led by Prof. Konrad Rieck, where I completed a postdoctoral fellowship.
I earned my PhD from Inria Saclay and École Polytechnique, under the supervision of Aline Carneiro Viana and Alain Tchana, and subsequently held a short postdoc at Inria. My research lies at the intersection of machine learning, security, and privacy, with a particular focus on user-centered analysis, attack and defense strategies, and data-driven methods in mobile communication systems.
During my PhD, I conducted research internships at Telecom Paris (cellular signaling experiments in a Faraday cage) and at CNR Pisa (modeling and realistic generation of CDR/XDR data). I hold a degree in computer engineering (2019) from École Polytechnique of Yaoundé, Cameroon.
Research interests: User data privacy . Machine learning for security & privacy . Mobile networking . Adversarial machine learning . Behavioral analysis
More detailed information: My CV (last updated on Dec 2025)
Latest news
| Jan 2026 | Our paper “A Large-Scale Study of Personalized Phishing using Large Language Models” is accepted to the 35th Usenix Security Symposium. |
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| Dec 2025 | Honored to share that I received the Prix “Science ouverte de la thèse” 2025 for my doctoral work on SIMBox fraud understanding and mitigation. More details are available on: Inria News Release. |
| Oct 2025 | Thrilled to share that our paper “Beyond Aggregates: A Fine-Grained Analysis of Individual Mobility and Traffic Dependencies” received the Best Paper Award at the MSWiM 2025 conference (CORE A ranked)! |
| Sep 2025 | Glad to serve as part of the TPC of AsiaCCS 2026. |
| Aug 2025 | Our paper “Tiny Sensors, Big Threats: Assessing Motion Sensor-based Fingerprinting in Mobile Systems” is accepted to ACM/IEEE MSWIM 2025. |
Selected publications
- MSWiMTiny Sensors, Big Threats: Assessing Motion Sensor-based Fingerprinting in Mobile SystemsIn MSWiM 2025 - 27th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Oct 2025
- MSWiMBeyond Aggregates: A Fine-Grained Analysis of Individual Mobility and Traffic DependenciesIn MSWiM 2025 - 27th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Oct 2025