The Trustworthy Information Systems Lab (TISL) tackles questions related to the design and deployment of trustworthy information and communication systems. Our research areas of interest are computer security, data privacy, optimization, and machine learning. Current research investigations of the group include data privacy and several aspects of trustworthy machine learning, such as fairness, privacy-preserving machine learning, and explainability.

🧸 Members

Dave-Harold Mbiazi-Njanda, MSc Student ☘️ co-supervision with Foutse Khomh
Eliott Baltz, MSc Student
Maryam Babaie, PhD Student ☘️ co-supervision with Sébastien Gambs
Meghana Bhange, MSc Student ☘️ co-supervision with Jean-Marc Robert
Patrik Kenfack, PhD Student ☘️ co-supervision with Samira Ebrahimi Kahou
Ulrich Aïvodji, Faculty
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📜 Code of Conduct

TISL is committed to ensuring an enjoyable, positive, and respectful experience for all. We anticipate the collaboration of every member to maintain a secure environment for everyone. For a more detailed version, please refer to the Code of Conduct page.

💰 Funding

TISL is supported by the following organizations:

  • Compute Canada
  • Canadian Institute for Advanced Research (CIFAR)
  • École de technologie supérieure (ÉTS)
  • Fonds de recherche du Québec – Nature et technologies (FRQNT)
  • Natural Sciences and Engineering Research Council of Canada (NSERC)

🚀 Alumni

Darius Harold Touko Tchakoua, MSc Student, Non-thesis
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