Sayan Biswas

Publications

Communication dans un congrès (5)

Robust ML Auditing using Prior Knowledge Jade Garcia Bourrée,Augustin Godinot,Sayan Biswas,Anne-Marie Kermarrec,Erwan Le Merreret 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
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
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
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

Article dans une revue (3)

A Privacy-Preserving Querying Mechanism with High Utility for Electric Vehicles Ugur Ilker Atmaca,Sayan Biswas,Carsten Maple,Catuscia Palamidessi IEEE Open Journal of Vehicular Technology, 2024, 5, pp.262-277. ⟨10.1109/OJVT.2024.3360302⟩ Article dans une revue hal-04467866v2
PRIVIC: A privacy-preserving method for incremental collection of location data Sayan Biswas,Catuscia Palamidessi Proceedings on Privacy Enhancing Technologies, 2024, 2024 (1), pp.582-596. ⟨10.56553/popets-2024-0033⟩ Article dans une revue hal-03968692v3
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond Filippo Galli,Kangsoo Jung,Sayan Biswas,Catuscia Palamidessi,Tommaso Cucinotta SN Computer Science, 2023, Volume 4, issue 6, November 2023, 4 (6), pp.831. ⟨10.1007/s42979-023-02292-0⟩ Article dans une revue hal-04320177v1

Thèse (1)

Comprendre et optimiser le compromis entre vie privée et utilité d'un point de vue fondamental Sayan Biswas Artificial Intelligence [cs.AI]. Institut Polytechnique de Paris, 2023. English. ⟨NNT : 2023IPPAX092⟩ Thèse tel-04407120v1

Chapitre d'ouvrage (1)

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