Sayan Biswas

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Robust ML Auditing using Prior Knowledge

Jade Garcia Bourrée , Augustin Godinot , Sayan Biswas , Anne-Marie Kermarrec , Erwan Le Merrer et al.

ICML 2025 - 42nd International Conference on Machine Learning, Jul 2025, Vancouver, Canada. pp.1-17, ⟨10.48550/arXiv.2505.04796⟩

Communication dans un congrès hal-05268400v1

Group privacy for personalized federated learning

Filippo Galli , Sayan Biswas , Kangsoo Jung , Tommaso Cucinotta , Catuscia Palamidessi

Proceedings of the 9th International Conference on Information Systems Security and Privacy - ICISSP, 2023, Lisbon, Portugal. pp.252-263, ⟨10.5220/0011885000003405⟩

Communication dans un congrès hal-03907130v1

Impact of sampling on locally differentially private data collection

Sayan Biswas , Graham Cormode , Carsten Maple

CADE 2022 - Competitive Advantage in the Digital Economy, Jun 2022, Venice, Italy. pp.64-70, ⟨10.1049/icp.2022.2042⟩

Communication dans un congrès hal-03846611v1

Tight Differential Privacy Blanket for the Shuffle Model

Sayan Biswas , Kangsoo Jung , Catuscia Palamidessi

CADE 2022 - Competitive Advantage in the Digital Economy, Jun 2022, Venice, Italy. pp.61-63, ⟨10.1049/icp.2022.2041⟩

Communication dans un congrès hal-03846624v1

An Incentive Mechanism for Trading Personal Data in Data Markets

Sayan Biswas , Kangsoo Jung , Catuscia Palamidessi

International Colloquium on Theoretical Aspects of Computing 2021, Sep 2021, Nur-Sultan, Kazakhstan. pp.197-213, ⟨10.1007/978-3-030-85315-0_12⟩

Communication dans un congrès hal-03589835v1

Establishing the Price of Privacy in Federated Data Trading

Kangsoo Jung , Sayan Biswas , Catuscia Palamidessi

Protocols, Strands, and Logic, 13066, Springer International Publishing, pp.232-250, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-91631-2_13⟩

Chapitre d'ouvrage hal-03589837v1