Ulrich Aïvodji
Cited by
Cited by
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
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
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
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
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
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
Model extraction from counterfactual explanations
U Aïvodji, A Bolot, S Gambs
arXiv preprint arXiv:2009.01884, 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
GAMIN: An Adversarial Approach to Black-Box Model Inversion
U Aïvodji, S Gambs, T Ther
AAAI Workshop on Privacy-Preserving Artificial Intelligence, 2020
Characterizing the risk of fairwashing
U Aïvodji, H Arai, S Gambs, S Hara
Advances in Neural Information Processing Systems 34, 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
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
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
Fool SHAP with Stealthily Biased Sampling
G Laberge, U Aïvodji, S Hara, M Marchand, F Khomh
The Eleventh International Conference on Learning Representations, 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
Learning fair rule lists
U Aïvodji, J Ferry, S Gambs, MJ Huguet, M Siala
arXiv preprint arXiv:1909.03977, 2019
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
Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods
J Ferry, G Laberge, U Aïvodji
arXiv preprint arXiv:2303.04437, 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
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
The system can't perform the operation now. Try again later.
Articles 1–20