Publications

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  • workshop 2025
    Towards Fair In-Context Learning with Tabular Foundation Models
    *Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
    ICML Workshop on Foundation Models for Structured Data
  • journal 2025
    Taming the Triangle: On the Interplays between Fairness, Interpretability and Privacy in Machine Learning
    Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
    Computational Intelligence
  • workshop 2025
    Algorithmic Collective Action Directed at Fair and Private Learning Algorithms
    Rushabh Solanki, *Meghana Bhange, Ulrich Aïvodji, Elliot Creager
    University of Waterloo Cybersecurity and Privacy Institute Graduate Student Conference.
  • workshop 2025
    Conscious Data Contribution via Community-Driven Chain-of-Thought Distillation
    *Lena Libon, *Meghana Bhange, Rushabh Solanki, Elliot Creager, Ulrich Aïvodji
    NeurIPS Workshop on Algorithmic Collective Action
  • workshop 2025
    Crowding Out The Noise: Algorithmic Collective Action Under Differential Privacy
    Rushabh Solanki, *Meghana Bhange, Ulrich Aïvodji, Elliot Creager
    NeurIPS Workshop on Algorithmic Collective Action
  • workshop 2025
    GradTune: Last-layer Fine-tuning for Group Robustness Without Group Annotation
    *Patrik Joslin Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou
    ICLR Workshop on Spurious Correlation and Shortcut Learning: Foundations and Solutions
  • workshop 2025
    Towards personalized healthcare without harm via bias modulation
    *Frank Ngaha, *Patrik Joslin Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou
    ICLR Workshop on Spurious Correlation and Shortcut Learning: Foundations and Solutions
  • Book Chapter 2025
    L’anonymisation des renseignements personnels au Québec : piste de conformité technologiques et pratiques pour les entreprises privées
    Ulrich Aïvodji, Caroline Deschênes, Frédéric Wilson
    Développements récents en matière de protection des renseignements personnels et droit de l'intelligence artificielle
  • workshop 2024
    Adaptive Group Robust Ensemble Knowledge Distillation
    *Patrik Joslin Kenfack, Ulrich Aïvodji, Samira Ebrahimi Kahou
    NeurIPS Algorithmic Fairness through the lens of Metrics and Evaluation Workshop
  • journal 2024
    Fairness Under Demographic Scarce Regime
    *Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
    Transactions on Machine Learning Research
  • journal 2024
    Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods
    Julien Ferry, Gabriel Laberge, Ulrich Aïvodji
    Transactions on Machine Learning Research
  • journal 2024
    A Survey on Fairness Without Demographics
    *Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji
    Transactions on Machine Learning Research
  • conference 2024
    Probabilistic Dataset Reconstruction from Interpretable Models
    Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
    Proceedings of the 2nd IEEE Conference on Secure and Trustworthy Machine Learning
  • Preprint 2024
    Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists
    *Timothée Ly, Julien Ferry, Marie-José Huguet, Sébastien Gambs, Ulrich Aivodji
  • conference 2023
    Fooling SHAP with Stealthily Biased Sampling
    Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh
    Proceedings of the 11th International Conference on Learning Representations
  • conference 2023
    Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
    Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
    Proceedings of the 1st IEEE Conference on Secure and Trustworthy Machine Learning
  • conference 2022
    Washing The Unwashable: On The (Im)possibility of Fairwashing Detection
    Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Wyllie, Ulrich Aïvodji, Aisha Alaagib Alryeh Mkean, Sébastien Gambs, Nicolas Papernot
    Proceedings of the 36th Conference on Neural Information Processing Systems
  • journal 2022
    Improving Fairness Generalization Through a Sample-Robust Optimization Method
    Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala.
    Machine Learning
  • conference 2022
    Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
    Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen Bach, Hima Lakkaraju
    Proceedings of the 5th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society
  • conference 2022
    Leveraging integer linear programming to learn optimal fair rule lists
    Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
    Proceedings of the 9th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research
  • journal 2022
    ML-based Performance Modeling in SDN-enabled Data Center Networks
    Benoit Nougnanke, Yann Labit, Marc Bruyere, Ulrich Aïvodji, Simone Ferlin
    IEEE Transactions on Network and Service Management
  • conference 2021
    Characterizing the risk of fairwashing
    Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara
    Proceedings of the 35th Conference on Neural Information Processing Systems
  • conference 2021
    FairCORELS, an Open-Source Library for Learning Fair Rule Lists
    Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
    Proceedings of the 30th ACM International Conference on Information and Knowledge Management
  • journal 2021
    Local Data Debiasing for Fairness Based on Generative Adversarial Training
    Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin C. Ngueveu, Alain Tapp
    Algorithms
  • conference 2021
    Learning-based Incast Performance Inference in Software-Defined Data Centers
    Kokouvi Benoit Nougnanke, Yann Labit, Marc Bruyere, Simone Ferlin, Ulrich Aïvodji
    Proceedings of the 24th Conference on Innovation in Clouds, Internet and Networks
  • journal 2020
    Privacy in trajectory micro-data publishing: a survey
    Marco Fiore, Panagiota Katsikouli, Elli Zavou, Mathieu Cunche, Françoise Fessant, Dominique Le Hello, Ulrich Aïvodji, Baptiste Olivier, Tony Quertier, Razvan Stanica
    Transactions on Data Privacy
  • Book Chapter 2020
    Les enjeux éhiques de l'apprentissage machine
    Ulrich Aïvodji, Sébastien Gambs
    13 défis de la cybersécurité. Gildas Avoine and Marc-Olivier Killijian (Dir.), CNRS Éditions
  • workshop 2020
    GAMIN: an adversarial approach to black-box model inversion
    Ulrich Aïvodji, Sébastien Gambs, Timon Ther
    AAAI Workshop on Privacy-Preserving Artificial Intelligence. New York, NY, USA
  • Preprint 2020
    Model extraction from counterfactual explanations
    Ulrich Aïvodji, Alexandre Bolot, Sébastien Gambs
  • Preprint 2020
    Learning fair rule lists
    Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
  • conference 2019
    Fairwashing: the risk of rationalization.
    Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp
    Proceedings of the 36th International Conference on Machine Learning
  • workshop 2019
    IOTFLA : a secured and privacy-preserving smart home architecture implementing federated learning
    Ulrich Aïvodji, Sébastien Gambs, Alexandre Martin
    IEEE Workshop on the Internet of Safe Things. San Francisco, CA, USA
  • conference 2018
    SRide: a privacy-preserving ridesharing system
    Ulrich Aïvodji, Kévin Huguenin, Marie-José Huguet, Marc-Olivier Killijian
    Proceedings of the 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks
  • workshop 2018
    SRide: a privacy-preserving ridesharing method
    Ulrich Aïvodji, Marie-José Huguet, Marc-Olivier Killijian
    19ème congrès annuel de société Française de Recherche Opérationnelle et d’Aide à la Décision. Lorient, France
  • workshop 2017
    Privacy-preserving matching for ridesharing
    Ulrich Aïvodji, Kévin Huguenin, Marie-José Huguet, Marc-Olivier Killijian
    8e édition de l'Atelier sur la Protection de la Vie Privée. Autrans, Vercors, France
  • journal 2016
    Meeting points in ridesharing: a privacy-preserving approach
    Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Marc-Olivier Killijian
    Transportation Research Part C: Emerging Technologies
  • workshop 2016
    Covoiturage respectueux de la vie privée
    Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Marc-Olivier Killijian
    17ème congrès annuel de société Française de Recherche Opérationnelle et d’Aide à la Décision. Compiègne, France
  • workshop 2015
    Privacy-preserving carpooling
    Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Marc-Olivier Killijian
    6th International Workshop on Freight Transportation and Logistics. Ajaccio, France
  • workshop 2015
    Privacy-preserving route synchronization for ridesharing
    Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Marc-Olivier Killijian
    6e édition de l'Atelier sur la Protection de la Vie Privée. Mosnes, France
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