Anne Josiane Kouam

Privacy & Security · Trustworthy AI · User Data Privacy · Mobile & Data-Driven Systems

josiane_pic.jpg

Inria Saclay, TRIBE team

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

I am a Research Scientist (Chargée de Recherche) in the TRiBE team at Inria Saclay. My research focuses on privacy and security in data-driven systems, particularly the risks associated with machine learning, human behavioral data, and mobile technologies.

Previously, I was a postdoctoral researcher at TU Berlin, where I remain affiliated with the Machine Learning and Security group. I received my PhD in Computer Science from Institut Polytechnique de Paris, conducting my research at Inria Saclay and École Polytechnique under the supervision of Aline Carneiro Viana and Alain Tchana. I also hold a degree in Computer Engineering from École Nationale Polytechnique de Yaoundé, Cameroon.

Research interests: Privacy & Security · Trustworthy AI · User Data Privacy · Mobile & Data-Driven Systems

Latest news

Oct 2026 Honored to receive the 2026 L’Oréal–UNESCO For Women in Science France Young Talents Award in the postdoctoral category! Press release.
Sep 2026 Delighted to return to the Heidelberg Laureate Forum 2026 as an alumna, facilitating discussions with scientific laureates and young researchers from around the world. Photo album.
Sep 2026 Glad to serve as part of the TPC of IEEE iThings 2026, ACM AsiaCCS 2027 and USENIX Security 2027.
Aug 2026 Our paper “On the Feasibility of Reference-Free Tracking via Motion Sensors in Public Transport” is accepted as a full paper at IEEE MSWiM 2026, with an acceptance rate of 19%.
Jun 2026 Our paper “Tracing the Unseen: A Deep Dive into Mobility Behavior Exposure” has been accepted for publication in EPJ Data Science. Congrats Lucas Felix!

Click here for past news

Selected publications

  1. ESORICS
    How Behavioral Exposure Reveals Privacy Risks Beyond Location Uniqueness
    Lucas G. S. Félix, Anne Josiane Kouam, Aline C. Viana, and 2 more authors
    In 31st European Symposium on Research in Computer Security (ESORICS), 2026
    CORE A PDF Code
  2. CCS
    Secrets Everywhere: Auditing Memorization in Mobility Prediction Models
    Anne Josiane Kouam, Hristo Boyadzhiev, and Konrad Rieck
    In 33rd ACM Conference on Computer and Communications Security (CCS), 2026
    CORE A* DOI PDF Code
  3. 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
    CORE A* PDF
  4. 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
    CORE A + Best paper DOI PDF Code
  5. 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
    CORE A + Top 5% DOI PDF Code Dataset
  6. 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
    CORE A DOI PDF Code Dataset
  7. 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
    Q1 Journal DOI PDF