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Rim
Ben Salem

Assistant Professor

Department of Management Information Systems
FSA ULaval

Fields of Interest and Research

  • Cybersecurity and privacy technologies
  • Information system security
  • Information privacy
  • Artificial intelligence, n.e.c.
  • Machine learning
  • Natural language processing

Education

  • Doctorate, Computer Science (Ph. D.), Université de Montréal
  • Master, Computer Science (M. Sc.), National School of Engineers of Sfax (ENIS)
  • Engineer's degree, Computer Engineering, National School of Engineers of Sfax (ENIS)

Publications

Articles

  • Ben Salem, R., Aimeur, E., & Hage, H. (2022). A multi-party agent for privacy preference elicitation. Artificial Intelligence and Applications (AIA), 1(2), 82-89. DOI : 10.47852/bonviewAIA2202514

Communications in a Conference with Proceedings

  • Aimeur, E., Ben Salem, R., Sallami, D., Vassileva, J., & Boulahia Cuppens, N. (2026). AiOfAi: 4th workshop on adverse impacts and collateral effects of artificial intelligence technologies. WWW Companion '26: Companion Proceedings of the ACM Web Conference 2026, Dubai, United Arab Emirates.
  • Nanamou, N. K., Ben Salem, R., Bkakria, A., Boulahia Cuppens, N., & Cuppens, F. (2025). From static to dynamic risk indicators in predicting and detecting insider attacks. 2025 IEEE 24th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Guiyang, China (PRC).
  • Benoit, L., Ben Salem, R., Boulahia Cuppens, N., & Cuppens, F. (2025). Mining reliable ABAC policies: A specificity and confidence-aware extension of Rhapsody. The 18th International Symposium on Foundations & Practice of Security (FPS), Brest, France.
  • Bittard, V., Ben Salem, R., Bouzid, A., Boucetta, S. I., Cuppens, F., & Boulahia Cuppens, N. (2025). A privilege creep-aware role mining method for enhanced access control Security. 2025 IEEE 24th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Guiyang, China (PRC).
  • Ben Salem, R., Cuppens, F., Boulahia-Cuppens, N., & Khechine, H. (2025). Designing a framework to tackle the multifaceted intricacies of insider threats. Availability, Reliability and Security. ARES 2025, Belgium.
  • Gouceyraud, M., Ben Salem, R., Neal, C., Cuppens, F., & Boulahia Cuppens, N. (2025). Federated intrusion detection system based on unsupervised machine learning. The 20th International Conference on Risks and Security of Internet and Systems (CRiSIS), Gatineau, Canada.
  • Sallami, D., Ben Salem, R., & Aimeur, E. (2023). Trust-based recommender system for fake news mitigation. UMAP '23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, United States of America.
  • Ben Salem, R., Aimeur, E., & Hage, H. (2023). User modelling for privacy-aware self-disclosure. 20th Annual International Conference on Privacy, Security and Trust (PST), Copenhague, Denmark.
  • Ben Salem, R., Aimeur, E., & Hage, H. (2022). Aegis: An agent for multi-party privacy preservation. AIES 2022 : Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society.
  • Ben Salem, R., Aimeur, E., & Hage, H. (2022). Towards enhanced privacy-preserving nudges. AIofAI 2022 : 2nd Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies, Vienne, Austria.
  • Ben Salem, R., Aimeur, E., & Hage, H. (2021). The privacy versus disclosure appetite dilemma: Mitigation by recommendation. Workshop on Online Misinformation- and Harm-Aware Recommender Systems @ ACM Recommender Systems Conference (RecSys), Amsterdam, Netherlands (The).
  • Ben Salem, R., Aimeur, E., & Hage, H. (2020). A nudge-based recommender system towards responsible online socializing. ACM Recommender Systems Conference (RecSys), Rio de Janeiro, Brazil.

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