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Ulrich Aïvodji
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2020 – today
- 2024
- [j5]Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji:
A Survey on Fairness Without Demographics. Trans. Mach. Learn. Res. 2024 (2024) - [c12]Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Probabilistic Dataset Reconstruction from Interpretable Models. SaTML 2024: 1-17 - [i15]Timothée Ly, Julien Ferry, Marie-José Huguet, Sébastien Gambs, Ulrich Aïvodji:
Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists. CoRR abs/2403.13848 (2024) - 2023
- [j4]Julien Ferry
, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Improving fairness generalization through a sample-robust optimization method. Mach. Learn. 112(6): 2131-2192 (2023) - [j3]Kokouvi Bénoît Nougnanke
, Yann Labit, Marc Bruyere
, Ulrich Aïvodji, Simone Ferlin
:
ML-Based Performance Modeling in SDN-Enabled Data Center Networks. IEEE Trans. Netw. Serv. Manag. 20(1): 815-829 (2023) - [c11]Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara, Mario Marchand, Foutse Khomh:
Fooling SHAP with Stealthily Biased Sampling. ICLR 2023 - [c10]Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction. SaTML 2023: 18-41 - [i14]Julien Ferry, Gabriel Laberge, Ulrich Aïvodji:
Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods. CoRR abs/2303.04437 (2023) - [i13]Patrik Joslin Kenfack, Samira Ebrahimi Kahou, Ulrich Aïvodji:
Fairness Under Demographic Scarce Regime. CoRR abs/2307.13081 (2023) - [i12]Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Probabilistic Dataset Reconstruction from Interpretable Models. CoRR abs/2308.15099 (2023) - [i11]Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
SoK: Taming the Triangle - On the Interplays between Fairness, Interpretability and Privacy in Machine Learning. CoRR abs/2312.16191 (2023) - 2022
- [c9]Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen H. Bach, Himabindu Lakkaraju:
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations. AIES 2022: 203-214 - [c8]Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Leveraging Integer Linear Programming to Learn Optimal Fair Rule Lists. CPAIOR 2022: 103-119 - [c7]Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Calanda Wyllie, Ulrich Aïvodji, Aisha Alaagib, Sébastien Gambs, Nicolas Papernot:
Washing The Unwashable : On The (Im)possibility of Fairwashing Detection. NeurIPS 2022 - [i10]Jessica Dai, Sohini Upadhyay, Ulrich Aïvodji, Stephen H. Bach, Himabindu Lakkaraju:
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations. CoRR abs/2205.07277 (2022) - [i9]Gabriel Laberge, Ulrich Aïvodji, Satoshi Hara:
Fooling SHAP with Stealthily Biased Sampling. CoRR abs/2205.15419 (2022) - [i8]Julien Ferry, Ulrich Aïvodji, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
:
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction. CoRR abs/2209.01215 (2022) - 2021
- [j2]Ulrich Aïvodji, François Bidet
, Sébastien Gambs, Rosin Claude Ngueveu, Alain Tapp:
Local Data Debiasing for Fairness Based on Generative Adversarial Training. Algorithms 14(3): 87 (2021) - [c6]Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala
:
FairCORELS, an Open-Source Library for Learning Fair Rule Lists. CIKM 2021: 4665-4669 - [c5]Kokouvi Bénoît Nougnanke, Yann Labit, Marc Bruyere, Simone Ferlin, Ulrich Aïvodji:
Learning-based Incast Performance Inference in Software-Defined Data Centers. ICIN 2021: 118-125 - [c4]Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara:
Characterizing the risk of fairwashing. NeurIPS 2021: 14822-14834 - [i7]Ulrich Aïvodji, Hiromi Arai, Sébastien Gambs, Satoshi Hara:
Characterizing the risk of fairwashing. CoRR abs/2106.07504 (2021) - 2020
- [j1]Marco Fiore, Panagiota Katsikouli, Elli Zavou, Mathieu Cunche, Françoise Fessant, Dominique Le Hello, Ulrich Matchi Aïvodji, Baptiste Olivier, Tony Quertier, Razvan Stanica:
Privacy in trajectory micro-data publishing: a survey. Trans. Data Priv. 13(2): 91-149 (2020) - [i6]Ulrich Aïvodji, Alexandre Bolot, Sébastien Gambs:
Model extraction from counterfactual explanations. CoRR abs/2009.01884 (2020)
2010 – 2019
- 2019
- [c3]Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp:
Fairwashing: the risk of rationalization. ICML 2019: 161-170 - [c2]Ulrich Matchi Aïvodji, Sébastien Gambs, Alexandre Martin:
IOTFLA : A Secured and Privacy-Preserving Smart Home Architecture Implementing Federated Learning. IEEE Symposium on Security and Privacy Workshops 2019: 175-180 - [i5]Ulrich Aïvodji, Hiromi Arai, Olivier Fortineau, Sébastien Gambs, Satoshi Hara, Alain Tapp:
Fairwashing: the risk of rationalization. CoRR abs/1901.09749 (2019) - [i4]Marco Fiore, Panagiota Katsikouli, Elli Zavou, Mathieu Cunche, Françoise Fessant, Dominique Le Hello, Ulrich Matchi Aïvodji, Baptiste Olivier, Tony Quertier, Razvan Stanica:
Privacy of trajectory micro-data : a survey. CoRR abs/1903.12211 (2019) - [i3]Ulrich Aïvodji, François Bidet, Sébastien Gambs, Rosin Claude Ngueveu, Alain Tapp:
Agnostic data debiasing through a local sanitizer learnt from an adversarial network approach. CoRR abs/1906.07858 (2019) - [i2]Ulrich Aïvodji, Julien Ferry, Sébastien Gambs, Marie-José Huguet, Mohamed Siala:
Learning Fair Rule Lists. CoRR abs/1909.03977 (2019) - [i1]Ulrich Aïvodji, Sébastien Gambs, Timon Ther:
GAMIN: An Adversarial Approach to Black-Box Model Inversion. CoRR abs/1909.11835 (2019) - 2018
- [b1]Ulrich Aïvodji:
Privacy-Enhancing Technologies for Ridesharing. (Technologies respectueuses de la vie privée pour le covoiturage). Paul Sabatier University, Toulouse, France, 2018 - [c1]Ulrich Matchi Aïvodji, Kévin Huguenin
, Marie-José Huguet, Marc-Olivier Killijian:
SRide: A Privacy-Preserving Ridesharing System. WISEC 2018: 40-50
Coauthor Index
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last updated on 2024-08-10 00:29 CEST by the dblp team
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