Gerome Miklau

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University of Massachusetts Amherst

A workload-adaptive mechanism for linear queries under local differential privacy

We propose a new mechanism to accurately answer a user-provided set of l...
02/05/2020 ∙ by Ryan McKenna, et al. ∙ 0 ∙ share

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Fair Decision Making using Privacy-Protected Data

Data collected about individuals is regularly used to make decisions tha...
05/29/2019 ∙ by Satya Kuppam, et al. ∙ 0 ∙ share

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Privacy Preserving Off-Policy Evaluation

Many reinforcement learning applications involve the use of data that is...
02/01/2019 ∙ by Tengyang Xie, et al. ∙ 0 ∙ share

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Graphical-model based estimation and inference for differential privacy

Many privacy mechanisms reveal high-level information about a data distr...
01/26/2019 ∙ by Ryan McKenna, et al. ∙ 0 ∙ share

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Ektelo: A Framework for Defining Differentially-Private Computations

The adoption of differential privacy is growing but the complexity of de...
08/10/2018 ∙ by Dan Zhang, et al. ∙ 0 ∙ share

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Optimizing error of high-dimensional statistical queries under differential privacy

Differentially private algorithms for answering sets of predicate counti...
08/10/2018 ∙ by Ryan McKenna, et al. ∙ 0 ∙ share

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On Obtaining Stable Rankings

We often have to rank items with multiple attributes in a dataset. A typ...
04/29/2018 ∙ by Abolfazl Asudeh, et al. ∙ 0 ∙ share

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A Nutritional Label for Rankings

Algorithmic decisions often result in scoring and ranking individuals to...
04/21/2018 ∙ by Ke Yang, et al. ∙ 0 ∙ share

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Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models

We investigate the problem of learning discrete, undirected graphical mo...
06/14/2017 ∙ by Garrett Bernstein, et al. ∙ 0 ∙ share

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Scalable Probabilistic Databases with Factor Graphs and MCMC

Probabilistic databases play a crucial role in the management and unders...
05/11/2010 ∙ by Michael Wick, et al. ∙ 0 ∙ share

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Gerome Miklau

Featured Co-authors

Andrew McCallum

Tao Sun

Arya Mazumdar

Philip S. Thomas

H. V. Jagadish

Daniel Sheldon

Bill Howe

Ashwin Machanavajjhala

Dan Zhang

Julia Stoyanovich

Abolfazl Asudeh

A workload-adaptive mechanism for linear queries under local differential privacy

Fair Decision Making using Privacy-Protected Data

Privacy Preserving Off-Policy Evaluation

Graphical-model based estimation and inference for differential privacy

Ektelo: A Framework for Defining Differentially-Private Computations

Optimizing error of high-dimensional statistical queries under differential privacy

On Obtaining Stable Rankings

A Nutritional Label for Rankings

Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models

Scalable Probabilistic Databases with Factor Graphs and MCMC