Birs- 18w5189: Mathematical Foundations of Data Privacy
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Title: Model-Agnostic Private Learning
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Title: Private k-Means with Constant Multiplicative Error
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Title: Concentrated Differential Privacy
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Title: On Algorithmic Fairness Between Groups and Individuals
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Title: A Hybrid of Advocacy and Modeling for Differential Privacy
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Title: Differential Privacy for Functional Data Analysis
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Title: PSI: A (differentially) private data-sharing interface
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Title: Generative Adversarial Privacy
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Title: Local Differential Privacy for Evolving Data
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Title: Individual Sensitivity Preprocessing for Data Privacy
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Title: End-to-End Analysis of PATE
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Title: Privacy-preserving prediction
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Title: Revisiting Differentially Private Matrix Completion
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Title: Privacy Amplification by Iteration
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Title: Bayesian models for adaptive data analysis
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Title: Comparing K-Norm Mechanisms
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Title: Geometric Lower Bounds and Algorithms for Differential Privacy
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Title: Privately learning high-dimensional distributions
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Title: Differentially Private Hypothesis Testing and Property Estimation
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Title: Accuracy First: Selecting a DP Level for Accurate ERM
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