A showcase of ÉTS researchers’ publications and other contributions

List of publications of "Aïvodji, Ulrich"

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Number of items: 12.


Aïvodji, Ulrich, Ferry, Julien, Gambs, Sébastien, Huguet, M. J. et Siala, M.. 2022. « Leveraging integer linear programming to learn optimal fair rule lists ». In Integration of Constraint Programming, Artificial Intelligence, and Operations Research : 19th International Conference, CPAIOR 2022, Proceedings (Los Angeles, CA, USA, June 20-23, 2022) Coll. « Lecture Notes in Computer Science », vol. 13292. pp. 103-119. Springer Science and Business Media Deutschland GmbH.

Ferry, Julien, Aivodji, Ulrich, Gambs, Sébastien, Huguet, Marie-José et Siala, Mohamed. 2022. « Improving fairness generalization through a sample-robust optimization method ». Machine Learning.
(In press)

Nougnanke, Benoit, Labit, Yann, Bruyere, Marc, Aivodji, Ulrich et Ferlin, Simone. 2022. « ML-based performance modeling in SDN-enabled data center networks ». IEEE Transactions on Network and Service Management.
(In press)


Aïvodji, Ulrich, Arai, Hiromi, Gambs, Sébastien et Hara, Satoshi. 2021. « Characterizing the risk of fairwashing ». In Proceedings of the Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (Sydney, Australia - En ligne, Dec. 06-14, 2021) pp. 14822-14834. Neural information processing systems foundation.

Aivodji, Ulrich, Bidet, François, Gambs, Sébastien, Ngueveu, Rosin Claude et Tapp, Alain. 2021. « Local data debiasing for fairness based on generative adversarial training ». Algorithms, vol. 14, nº 3.

Aïvodji, Ulrich, Ferry, Julien, Gambs, Sébastien, Huguet, Marie-José et Siala, Mohamed. 2021. « FairCORELS, an open-source library for learning fair rule lists ». In CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management (Queensland, Australia, Nov. 01-05, 2021) pp. 4665-4669. Association for Computing Machinery.

Nougnanke, Kokouvi Benoit, Labit, Yann, Bruyere, Marc, Ferlin, Simone et Aivodji, Ulrich. 2021. « Learning-based incast performance inference in software-defined data centers ». In 24th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN) (Paris, France, Mar. 01-04, 2021) pp. 118-125. Institute of Electrical and Electronics Engineers Inc..


Fiore, M., Katsikouli, P., Zavou, E., Cunche, M., Fessant, F., Le Hello, D., Aivodji, U. M., Olivier, B., Quertier, T. et Stanica, R.. 2020. « Privacy in trajectory micro-data publishing: A survey ». Transactions on Data Privacy, vol. 13, nº 2. pp. 91-149.


Aïvodji, Ulrich Matchi, Gambs, Sébastien et Martin, Alexandre. 2019. « IOTFLA : AA secured and privacy-preserving smart home architecture implementing federated learning ». In IEEE Security and Privacy Workshops (SPW) (San Francisco, CA, USA, May 19-23, 2019) pp. 175-180. Institute of Electrical and Electronics Engineers Inc..

Aïvodji, Ulrich, Arai, Hiromi, Fortineau, Olivier, Gambs, Sébastien, Hara, Satoshi et Tapp, Alain. 2019. « Fairwashing: The risk of rationalization ». In Proceedings of the 36th International Conference on Machine Learning (ICML) (Long Beach, CA, USA, June 09-15, 2019) Coll. « Proceedings of Machine Learning Research », vol. 97. pp. 161-170. PLMR.


Aïvodji, U. M., Huguet, M. J., Huguenin, K. et Killijian, M. O.. 2018. « SRide: A privacy-preserving ridesharing system ». In WiSec 2018 - Proceedings of the 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks (Stockholm, Sweden, June 18-20, 2018) pp. 40-50. Association for Computing Machinery, Inc.


Aïvodji, Ulrich Matchi, Gambs, Sébastien, Huguet, Marie-José et Killijian, Marc-Olivier. 2016. « Meeting points in ridesharing: A privacy-preserving approach ». Transportation Research Part C: Emerging Technologies, vol. 72. pp. 239-253.

This list was generated on Tue Jan 31 01:23:42 2023 EST.