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Conference

Compression Boosts Differentially Private Federated Learning

Subjects: [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Vienna; Austria

  • Source: EuroS&P 2021 - 6th IEEE European Symposium on Security and Privacy ; https://hal.science/hal-03066941 ; EuroS&P 2021 - 6th IEEE European Symposium on Security and Privacy, Sep 2021, Vienna, Austria.

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Conference

Privacy-Preserving and Bandwidth-Efficient Federated Learning: An Application to In-Hospital Mortality Prediction

Subjects: [INFO]Computer Science [cs]; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]virtual event; France

  • Source: CHIL 2021 - ACM Conference on Health, Inference, and Learning ; https://inria.hal.science/hal-03160473 ; CHIL 2021 - ACM Conference on Health, Inference, and Learning, Apr 2021, virtual event, France.

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Conference

Constrained Differentially Private Federated Learning for Low-bandwidth Devices

Subjects: [INFO]Computer Science [cs]; [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]Online; United States

  • Source: Proceedings of Machine Learning Research ; UAI 2021 - 37th Conference on Uncertainty in Artificial Intelligence ; https://hal.science/hal-03266004 ; UAI 2021 - 37th Conference on Uncertainty in

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Conference

Differential Inference Testing: A Practical Approach to Evaluate Sanitizations of Datasets

Subjects: Diversity; k- Anonymity; Index Terms-SanitizationSan Francisco; United States

  • Source: SPW 2019 - 40th IEEE Symposium on Security and Privacy Workshops ; https://hal.science/hal-02422992 ; SPW 2019 - 40th IEEE Symposium on Security and Privacy Workshops, May 2019, San Francisco, United

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Conference

On the Unicity of Smartphone Applications

Subjects: [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Denver; USA; France

  • Source: ACM CCS Workshop on Privacy in Electronic Society (WPES) ; https://inria.hal.science/hal-01181040 ; ACM CCS Workshop on Privacy in Electronic Society (WPES), Oct 2015, Denver, Colorado, USA, France ;

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Conference

A Case Study: Privacy Preserving Release of Spatio-temporal Density in Paris

Subjects: [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]New York; United States

  • Source: KDD '14 Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining ; https://inria.hal.science/hal-01060070 ; KDD '14 Proceedings of the 20th ACM SIGKDD

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