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 hold a Postdoctoral Fellowship (starting researcher position) in the TRIBE team at Inria Saclay and serve as Associate Researcher position in the Machine Learning and Security group at TU Berlin, led by Prof. Konrad Rieck, where I completed a postdoctoral fellowship. At Inria Saclay I contribute to the coordination of MobSciData Factory project of the national research program PEPR MOBIDEC as Inria scientific leader.

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

Mar 2026 Released ZenPlus, a lightweight Python library for modeling traffic–mobility dependencies from fine-grained mobile network data, available as an open-source research artifact of our MSWIM’25 paper.
Mar 2026 Glad to serve as part of the TPC of EuroDW 2026 and Algotel 2026.
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)!

Click here for past news

Selected publications

  1. USENIX Security
    A Large-Scale Study of Personalized Phishing using Large Language Models
    Stefan Czybik, Anne Josiane Kouam, Peter Heubl, and 2 more authors
    In USENIX 2026 - 35th USENIX Security Symposium, Aug 2026
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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