Anne Josiane Kouam

User data privacy . Machine learning for security & privacy . Mobile networking . Adversarial machine learning . Behavioral analysis

josiane_pic.jpg

Inria Saclay, TRIBE team

1 Rue Honoré d'Estienne d'Orves, 91120 Palaiseau

anne-josiane.kouam@inria.fr

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.
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.

Click here for past news

Selected publications

  1. MSWiM
    Tiny Sensors, Big Threats: Assessing Motion Sensor-based Fingerprinting in Mobile Systems
    Carlos Sulbaran Fandino, Anne Josiane Kouam, and Konrad Rieck
    In MSWiM 2025 - 27th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Oct 2025
  2. MSWiM
    Beyond Aggregates: A Fine-Grained Analysis of Individual Mobility and Traffic Dependencies
    Anne Josiane Kouam, Aline Carneiro Viana, Mariano G. Beiró, and 2 more authors
    In MSWiM 2025 - 27th International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, Oct 2025
  3. AsiaCCS
    SigN: SIMBox Activity Detection Through Latency Anomalies at the Cellular Edge
    Anne Josiane Kouam, Aline Carneiro Viana, Philippe Martins, and 2 more authors
    In ACM Asia Conference on Computer and Communications Security (ASIA CCS ’25), Aug 2025
  4. AsiaCCS
    Battle of Wits: To What Extent Can Fraudsters Disguise Their Tracks in International bypass Fraud?
    Anne Josiane Kouam, Aline Carneiro Viana, and Alain Tchana
    In ACM ASIACCS 2024 - 19th ACM Asia Conference on Computer and Communications Security, Jul 2024
  5. COMST
    SIMBox bypass frauds in cellular networks: Strategies, evolution, detection, and future directions
    Anne Josiane Kouam, Aline Carneiro Viana, and Alain Tchana
    Communications Surveys and Tutorials, IEEE Communications Society, Jul 2021