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18 résultats
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triés par
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Privacy-Preserving Release of Spatio-Temporal DensityHandbook of Mobile Data Privacy, Springer, pp.307-335, 2018, 978-3-319-98160-4. ⟨10.1007/978-3-319-98161-1_12⟩
Chapitre d'ouvrage
hal-01921891v1
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A Case Study: Privacy Preserving Release of Spatio-temporal Density in ParisKDD '14 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, ACM, Aug 2014, New York, United States
Communication dans un congrès
hal-01060070v1
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Federated Learning in Adversarial Settings2020
Pré-publication, Document de travail
hal-02968257v2
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Differentially Private Histogram Publishing through Lossy CompressionICDM 2012 - 12th IEEE International Conference on Data Mining, Dec 2012, Brussels, Belgium. pp.1-10, ⟨10.1109/ICDM.2012.80⟩
Communication dans un congrès
hal-00747821v1
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Differentially Private Sequential Data Publication via Variable-Length N-GramsACM Computer and Communication Security (CCS), ACM, Oct 2012, Raleigh, United States
Communication dans un congrès
hal-00747830v1
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Anonymous versus personal data: from a binary view to a rigorous risk-based approach2015
Autre publication scientifique
hal-01247125v1
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Near-Optimal Fingerprinting with ConstraintsPET Symposium '16, Jul 2016, Darmstadt, Germany. ⟨10.1515/popets-2016-0051⟩
Communication dans un congrès
hal-01321659v1
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Testing the robustness of anonymization techniques: acceptable versus unacceptable inferencesThe Brussels Privacy Symposium , Nov 2016, brussels, Belgium
Communication dans un congrès
hal-01399858v1
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You Are What You Like! Information Leakage Through Users' InterestsNDSS Symposium 2012 - 19th Annual Network and Distributed System Security Symposium, Feb 2012, San Diego, United States. pp.1-14
Communication dans un congrès
hal-00748162v1
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Probabilistic k$^m$-anonymityIEEE Internation Conference on Big Data (BigData) 2015, Oct 2015, Santa Clara, United States
Communication dans un congrès
hal-01205533v1
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On the Unicity of Smartphone ApplicationsACM CCS Workshop on Privacy in Electronic Society (WPES), Oct 2015, Denver, Colorado, USA, France
Communication dans un congrès
hal-01181040v2
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Compression Boosts Differentially Private Federated LearningEuroS&P 2021 - 6th IEEE European Symposium on Security and Privacy, Sep 2021, Vienna, Austria. pp.1-15, ⟨10.1109/EuroSP51992.2021.00029⟩
Communication dans un congrès
hal-03066941v1
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Constrained Differentially Private Federated Learning for Low-bandwidth DevicesUAI 2021 - 37th Conference on Uncertainty in Artificial Intelligence, Jul 2021, Online, United States. pp.1-18
Communication dans un congrès
hal-03266004v1
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Differential Inference Testing: A Practical Approach to Evaluate Sanitizations of DatasetsSPW 2019 - 40th IEEE Symposium on Security and Privacy Workshops, May 2019, San Francisco, United States. pp.72-79, ⟨10.1109/SPW.2019.00024⟩
Communication dans un congrès
hal-02422992v1
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Differential Inference Testing A Practical Approach to Evaluate Anonymized Data[Research Report] INRIA. 2018, pp.1-21
Rapport
hal-01681014v2
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Differentially Private Mixture of Generative Neural NetworksICDM 2017 - IEEE International Conference on Data Mining , Nov 2017, New-orleans, United States
Communication dans un congrès
hal-01636571v1
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Differentially Private Mixture of Generative Neural NetworksIEEE Transactions on Knowledge and Data Engineering, 2019, 31 (6), pp.1109-1121. ⟨10.1109/TKDE.2018.2855136⟩
Article dans une revue
hal-01921923v1
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Privacy-Preserving and Bandwidth-Efficient Federated Learning: An Application to In-Hospital Mortality PredictionCHIL 2021 - ACM Conference on Health, Inference, and Learning, Apr 2021, virtual event, France. pp.1-11, ⟨10.1145/3450439.3451859⟩
Communication dans un congrès
hal-03160473v1
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