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05/02/2023
Unbounded Differentially Private Quantile and Maximum Estimation
In this work we consider the problem of differentially private computati...
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02/10/2022
Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization
We introduce the notion of heterogeneous calibration that applies a post...
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02/14/2020
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale
We present a privacy system that leverages differential privacy to prote...
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09/30/2019
Optimal Differential Privacy Composition for Exponential Mechanisms and the Cost of Adaptivity
Composition is one of the most important properties of differential priv...
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08/06/2019
Parallel Batch-Dynamic Graphs: Algorithms and Lower Bounds
In this paper we study the problem of dynamically maintaining graph prop...
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06/24/2019
Fully Dynamic Spectral Vertex Sparsifiers and Applications
We study dynamic algorithms for maintaining spectral vertex sparsifiers ...
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05/10/2019
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition
We study the problem of top-k selection over a large domain universe sub...
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05/06/2019
Efficient Second-Order Shape-Constrained Function Fitting
We give an algorithm to compute a one-dimensional shape-constrained func...
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04/23/2018
Individual Sensitivity Preprocessing for Data Privacy
The sensitivity metric in differential privacy, which is informally defi...
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04/11/2018