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Ulrich Aïvodji
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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
1382019
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
1152016
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
762020
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
69*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
672018
Model extraction from counterfactual explanations
U Aïvodji, A Bolot, S Gambs
arXiv preprint arXiv:2009.01884, 2020
422020
GAMIN: An Adversarial Approach to Black-Box Model Inversion
U Aïvodji, S Gambs, T Ther
AAAI Workshop on Privacy-Preserving Artificial Intelligence, 2020
352020
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
242022
Characterizing the risk of fairwashing
U Aïvodji, H Arai, S Gambs, S Hara
Advances in Neural Information Processing Systems 34, 2021
222021
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
16*2021
Learning fair rule lists
U Aïvodji, J Ferry, S Gambs, MJ Huguet, M Siala
arXiv preprint arXiv:1909.03977, 2019
102019
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
92022
Improving fairness generalization through a sample-robust optimization method
J Ferry, U Aïvodji, S Gambs, MJ Huguet, M Siala
Machine Learning, 1-62, 2022
72022
Fooling SHAP with Stealthily Biased Sampling
G Laberge, U Aïvodji, S Hara, M Marchand, F Khomh
International Conference on Learning Representations (ICLR), 2023
62023
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
52021
Privacy-preserving carpooling
UM Aïvodji, S Gambs, MJ Huguet, MO Killijian
5*2015
Privacy of trajectory micro-data: a survey
M Fiore, P Katsikouli, E Zavou, M Cunche, F Fessant, D Le Hello, ...
42019
Privacy-enhancing technologies for ridesharing
UM Aïvodji
Université Paul Sabatier-Toulouse III, 2018
42018
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
32023
Learning-based Incast Performance Inference in Software-Defined Data Centers
KB Nougnanke, Y Labit, M Bruyère, S Ferlin, U Aivodji
24th Conference on Innovation in Clouds, Internet and Networks and Workshops …, 2021
32021
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Articles 1–20