| Fairwashing: the risk of rationalization U Aïvodji, H Arai, O Fortineau, S Gambs, S Hara, A Tapp International Conference on Machine Learning, 161-170, 2019 | 168 | 2019 |
| Meeting points in ridesharing: A privacy-preserving approach UM Aïvodji, S Gambs, MJ Huguet, MO Killijian Transportation Research Part C: Emerging Technologies 72, 239-253, 2016 | 120 | 2016 |
| Privacy in trajectory micro-data publishing: a survey M Fiore, P Katsikouli, E Zavou, M Cunche, F Fessant, DL Hello, ... Transactions on Data Privacy 13 (2), 91 - 149, 2020 | 90 | 2020 |
| IOTFLA: A secured and privacy-preserving smart home architecture implementing federated learning UM Aïvodji, S Gambs, A Martin IEEE Security and Privacy Workshops (SPW), 175-180, 2019 | 85 | 2019 |
| Sride: A privacy-preserving ridesharing system UM Aïvodji, K Huguenin, MJ Huguet, MO Killijian Proceedings of the 11th ACM Conference on Security & Privacy in Wireless and …, 2018 | 71 | 2018 |
| Block-FeST: A blockchain-based federated anomaly detection framework with computation offloading using transformers Z Batool, K Zhang, Z Zhu, S Aravamuthan, U Aivodji 2022 IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain …, 2022 | 67 | 2022 |
| Model extraction from counterfactual explanations U Aïvodji, A Bolot, S Gambs arXiv preprint arXiv:2009.01884, 2020 | 63 | 2020 |
| GAMIN: An Adversarial Approach to Black-Box Model Inversion U Aïvodji, S Gambs, T Ther AAAI Workshop on Privacy-Preserving Artificial Intelligence, 2020 | 46 | 2020 |
| Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations J Dai, S Upadhyay, U Aïvodji, SH Bach, H Lakkaraju AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2022 | 42 | 2022 |
| Characterizing the risk of fairwashing U Aïvodji, H Arai, S Gambs, S Hara Advances in Neural Information Processing Systems 34, 2021 | 30 | 2021 |
| Local Data Debiasing for Fairness Based on Generative Adversarial Training U Aïvodji, F Bidet, S Gambs, RC Ngueveu, A Tapp Algorithms 14 (3), 87, 2021 | 17* | 2021 |
| Improving fairness generalization through a sample-robust optimization method J Ferry, U Aivodji, S Gambs, MJ Huguet, M Siala Machine Learning 112 (6), 2131-2192, 2023 | 13 | 2023 |
| Washing the unwashable: On the (im) possibility of fairwashing detection A Shahin Shamsabadi, M Yaghini, N Dullerud, S Wyllie, U Aïvodji, ... Advances in Neural Information Processing Systems 35, 14170-14182, 2022 | 12 | 2022 |
| Learning fair rule lists U Aïvodji, J Ferry, S Gambs, MJ Huguet, M Siala arXiv preprint arXiv:1909.03977, 2019 | 12 | 2019 |
| Fool SHAP with Stealthily Biased Sampling G Laberge, U Aïvodji, S Hara, M Marchand, F Khomh The Eleventh International Conference on Learning Representations, 2022 | 11* | 2022 |
| FairCORELS, an Open-Source Library for Learning Fair Rule Lists U Aïvodji, J Ferry, S Gambs, MJ Huguet, M Siala Proceedings of the 30th ACM International Conference on Information …, 2021 | 11 | 2021 |
| Exploiting Fairness to Enhance Sensitive Attributes Reconstruction J Ferry, U Aïvodji, S Gambs, MJ Huguet, M Siala IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023 | 9 | 2023 |
| Probabilistic Dataset Reconstruction from Interpretable Models J Ferry, U Aïvodji, S Gambs, MJ Huguet, M Siala IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2024 | 6 | 2024 |
| Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods J Ferry, G Laberge, U Aïvodji arXiv preprint arXiv:2303.04437, 2023 | 6 | 2023 |
| ML-based Performance Modeling in SDN-enabled Data Center Networks B Nougnanke, Y Labit, M Bruyere, U Aïvodji, S Ferlin IEEE Transactions on Network and Service Management, 2022 | 6 | 2022 |
Sébastien GambsUniversité du Québec à Montréal (UQAM)在 uqam.ca 的电子邮件经过验证
