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09/19/2023
DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance
Recent years have witnessed the adoption of differential privacy (DP) in...
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06/21/2023
An efficient, provably exact algorithm for the 0-1 loss linear classification problem
Algorithms for solving the linear classification problem have a long his...
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06/06/2023
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
The hybrid architecture of convolutional neural networks (CNNs) and Tran...
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11/28/2022
Cache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration
Differential privacy (DP) allows data analysts to query databases that c...
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07/18/2022
Don't Be a Tattle-Tale: Preventing Leakages through Data Dependencies on Access Control Protected Data
We study the problem of answering queries when (part of) the data may be...
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01/16/2022
Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases
Organizations often collect private data and release aggregate statistic...
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11/09/2021
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
Hyperparameter optimization is a ubiquitous challenge in machine learnin...
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10/27/2021
Unbiased Statistical Estimation and Valid Confidence Intervals Under Differential Privacy
We present a method for producing unbiased parameter estimates and valid...
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08/29/2021
Survival Analysis with Graph-Based Regularization for Predictors
We study the variable selection problem in survival analysis to identify...
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12/31/2020
Kamino: Constraint-Aware Differentially Private Data Synthesis
Organizations are increasingly relying on data to support decisions. Whe...
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05/07/2020
Quantum correlation alignment for unsupervised domain adaptation
Correlation alignment (CORAL), a representative domain adaptation (DA) a...
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04/19/2020
DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications
Differential privacy (DP) has arisen as the state-of-the-art metric for ...
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04/09/2020
Computing Local Sensitivities of Counting Queries with Joins
Local sensitivity of a query Q given a database instance D, i.e. how muc...
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01/08/2020
Quantum subspace alignment for domain adaptation
Domain adaptation (DA) is used for adaptively obtaining labels of an unp...
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09/25/2019
Design of Algorithms under Policy-Aware Local Differential Privacy: Utility-Privacy Trade-offs
Local differential privacy (LDP) enables private data sharing and analyt...
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02/20/2019
Outis: Crypto-Assisted Differential Privacy on Untrusted Servers
Differential privacy has steadily become the de-facto standard for achie...
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10/26/2018
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy
In this paper, we propose a Distributed Accumulated Newton Conjugate gra...
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10/03/2018
Shrinkwrap: Differentially-Private Query Processing in Private Data Federations
A private data federation is a set of autonomous databases that share a ...
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12/29/2017
