Sayan Biswas
Publications
Publications
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Robust ML Auditing using Prior KnowledgeICML 2025 - 42nd International Conference on Machine Learning, Jul 2025, Vancouver, Canada. pp.1-17, ⟨10.48550/arXiv.2505.04796⟩ |
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Group privacy for personalized federated learningProceedings of the 9th International Conference on Information Systems Security and Privacy - ICISSP, 2023, Lisbon, Portugal. pp.252-263, ⟨10.5220/0011885000003405⟩ |
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Impact of sampling on locally differentially private data collectionCADE 2022 - Competitive Advantage in the Digital Economy, Jun 2022, Venice, Italy. pp.64-70, ⟨10.1049/icp.2022.2042⟩ |
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Tight Differential Privacy Blanket for the Shuffle ModelCADE 2022 - Competitive Advantage in the Digital Economy, Jun 2022, Venice, Italy. pp.61-63, ⟨10.1049/icp.2022.2041⟩ |
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An Incentive Mechanism for Trading Personal Data in Data MarketsInternational Colloquium on Theoretical Aspects of Computing 2021, Sep 2021, Nur-Sultan, Kazakhstan. pp.197-213, ⟨10.1007/978-3-030-85315-0_12⟩ |
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PRIVIC: A privacy-preserving method for incremental collection of location dataProceedings on Privacy Enhancing Technologies, 2024, 2024 (1), pp.582-596. ⟨10.56553/popets-2024-0033⟩ |
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A Privacy-Preserving Querying Mechanism with High Utility for Electric VehiclesIEEE Open Journal of Vehicular Technology, 2024, 5, pp.262-277. ⟨10.1109/OJVT.2024.3360302⟩ |
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Advancing Personalized Federated Learning: Group Privacy, Fairness, and BeyondSN Computer Science, 2023, Volume 4, issue 6, November 2023, 4 (6), pp.831. ⟨10.1007/s42979-023-02292-0⟩ |
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Comprendre et optimiser le compromis entre vie privée et utilité d'un point de vue fondamentalArtificial Intelligence [cs.AI]. Institut Polytechnique de Paris, 2023. English. ⟨NNT : 2023IPPAX092⟩ |
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Establishing the Price of Privacy in Federated Data TradingProtocols, Strands, and Logic, 13066, Springer International Publishing, pp.232-250, 2021, Lecture Notes in Computer Science, ⟨10.1007/978-3-030-91631-2_13⟩ |