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Data Science Privacy

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PREMED: Privacy-Preserving and Robust Computational Phenotyping using Multisite EHR Data

Submitted by JasonGigax on Wed, 06/22/2022 - 2:30pm. Contributors:

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CAREER: Robust Adaptive Optimization Algorithms for Differentially Private Learning

Submitted by JasonGigax on Wed, 06/22/2022 - 2:14pm. Contributor:

Jaewoo Lee

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When Adversarial Learning Meets Differential Privacy: Theoretical Foundation and Applications

Submitted by JasonGigax on Wed, 06/22/2022 - 1:54pm. Contributors:

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SaTC: CORE: Medium: Countering Surveillanceware Using Deception-Based Generative Models and Systems Mechanisms

Submitted by JasonGigax on Wed, 06/22/2022 - 1:39pm. Contributors:

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CAREER: Towards Privacy and Fairness in Multi-Sided Platforms

Submitted by JasonGigax on Wed, 06/22/2022 - 1:36pm. Contributor:

Aleksandra Korolova

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Privacy protection of Vehicles location in Spatial Crowdsourcing under realistic adversarial models

Submitted by JasonGigax on Wed, 06/22/2022 - 1:34pm. Contributors:

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SaTC: CORE: Medium: Countering Surveillanceware Using Deception-Based Generative Models and Systems Mechanisms

Submitted by JasonGigax on Mon, 06/20/2022 - 10:28am. Contributors:

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SaTC: CORE: When Adversarial Learning Meets Differential Privacy: Theoretical Foundation and Applications

Submitted by JasonGigax on Mon, 06/20/2022 - 10:21am. Contributors:

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Privacy protection of Vehicles location in Spatial Crowdsourcing under realistic dversarial models

Submitted by JasonGigax on Mon, 06/20/2022 - 10:16am. Contributors:

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CAREER: Robust Adaptive Optimization Algorithms for Differentially Private Learning

Submitted by JasonGigax on Mon, 06/20/2022 - 10:15am. Contributor:

Jaewoo Lee

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