Search Results for author: Bradley A. Malin

Found 9 papers, 3 papers with code

Enabling Trade-offs in Privacy and Utility in Genomic Data Beacons and Summary Statistics

no code implementations11 Jan 2023 Rajagopal Venkatesaramani, Zhiyu Wan, Bradley A. Malin, Yevgeniy Vorobeychik

Several approaches have been proposed to preserve privacy, which either suppress a subset of genomic variants or modify query responses for specific variants (e. g., adding noise, as in differential privacy).

Risk of re-identification for shared clinical speech recordings

1 code implementation18 Oct 2022 Daniela A. Wiepert, Bradley A. Malin, Joseph R. Duffy, Rene L. Utianski, John L. Stricker, David T. Jones, Hugo Botha

Risk is high for a small search space but drops as the search space grows ($precision >0. 85$ for $<1*10^{6}$ comparisons, $precision <0. 5$ for $>3*10^{6}$ comparisons).

Speaker Recognition

Re-identification of Individuals in Genomic Datasets Using Public Face Images

1 code implementation17 Feb 2021 Rajagopal Venkatesaramani, Bradley A. Malin, Yevgeniy Vorobeychik

However, recent studies have suggested that genomic data can be effectively matched to high-resolution three-dimensional face images, which raises a concern that the increasingly ubiquitous public face images can be linked to shared genomic data, thereby re-identifying individuals in the genomic data.

GINN: Fast GPU-TEE Based Integrity for Neural Network Training

no code implementations1 Jan 2021 Aref Asvadishirehjini, Murat Kantarcioglu, Bradley A. Malin

In this work, we focus on the setting where the integrity of the outsourced Deep Learning (DL) model training is ensured by TEE.

Self-Driving Cars

Generating Electronic Health Records with Multiple Data Types and Constraints

no code implementations17 Mar 2020 Chao Yan, Ziqi Zhang, Steve Nyemba, Bradley A. Malin

Sharing electronic health records (EHRs) on a large scale may lead to privacy intrusions.

PIVETed-Granite: Computational Phenotypes through Constrained Tensor Factorization

no code implementations8 Aug 2018 Jette Henderson, Bradley A. Malin, Joyce C. Ho, Joydeep Ghosh

It has been recently shown that sparse, nonnegative tensor factorization of multi-modal electronic health record data is a promising approach to high-throughput computational phenotyping.

Computational Phenotyping

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