Matthew J. Schneider

According to our database, Matthew J. Schneider authored at least 8 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Legally Anonymizing Location Data Under the GDPR.

Cameron D. Bale, Jordan L. Fischer, Matthew J. Schneider, Steven Weber, Suzanne Chang

Trans. Data Priv., January, 2024

Geometric series representation for robust bounds of exponential smoothing difference between protected and confidential data.

Jinwook Lee, Matthew J. Schneider

Ann. Oper. Res., January, 2024

2023

Protecting the anonymity of online users through Bayesian data synthesis.

Matthew J. Schneider, Jingchen Hu, Shawn Mankad, Cameron D. Bale

Expert Syst. Appl., April, 2023

Reidentification Risk in Panel Data: Protecting for <i>k</i>-Anonymity.

Shaobo Li, Matthew J. Schneider, Yan Yu, Sachin Gupta

Inf. Syst. Res., 2023

2022

Time series data identification and optimization with the measurements of potential bias and discrimination issues based on pseudo-Boolean functions.

Jinwook Lee, Lanqing Du, Jade Zhang, Matthew J. Schneider

Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2022 (ISAIM 2022), 2022

2018

A Flexible Method for Protecting Marketing Data: An Application to Point-of-Sale Data.

Matthew J. Schneider, Sharan Jagpal, Sachin Gupta, Shaobo Li, Yan Yu

Mark. Sci., 2018

2013

Differential Privacy Applications to Bayesian and Linear Mixed Model Estimation.

John M. Abowd, Matthew J. Schneider, Lars Vilhuber

J. Priv. Confidentiality, 2013

2011

An Application of Differentially Private Linear Mixed Modeling.

John M. Abowd, Matthew J. Schneider

Proceedings of the Data Mining Workshops (ICDMW), 2011