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Achraf Azize
Achraf Azize
Inria, Univ. Lille
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Año
When privacy meets partial information: A refined analysis of differentially private bandits
A Azize, D Basu
NeurIPS 2022, 2022
232022
Concentrated differential privacy for bandits
A Azize, D Basu
2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 78-109, 2024
8*2024
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
A Azize, M Jourdan, AA Marjani, D Basu
NeurIPS 2023, 2023
72023
Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage
A Azize, D Basu
The 28th International Conference on Artificial Intelligence and Statistics, 0
7*
Differentially private best-arm identification
A Azize, M Jourdan, AA Marjani, D Basu
arXiv preprint arXiv:2406.06408, 2024
42024
Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits?
A Azize, D Basu
The Thirty Seventh Annual Conference on Learning Theory, 5306-5311, 2024
32024
Compromis entre confidentialité et utilité dans la prise de décision séquentielle dans l’incertain
A Azize
2024
Privacy-Utility Trade-offs in Sequential Decision-Making under Uncertainty
A Azize
Université de Lille, 2024
2024
Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation
P Daoudi, M Formoso, O Gaizi, A Azize, E Garcelon
arXiv preprint arXiv:2312.15458, 2023
2023
Rényi Differentially Private Bandits
A Azize, D Basu
AAAI Workshop on Privacy Preserving AI, 2023
2023
Conservative Optimistic Policy Optimization via Multiple Importance Sampling
A Azize, O Gaizi
arXiv preprint arXiv:2103.03307, 2021
2021
2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)| 979-8-3503-4950-4/24/$31.00© 2024 IEEE| DOI: 10.1109/SaTML59370. 2024.00043
U Aïvodji, G Anderson, R Anderson, S Aydore, A Azize, D Basu, ...
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Artículos 1–12