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Sean Peisert
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Differentially Private $K$-means Clustering Applied to Meter Data Analysis and Synthesis


Dec 07, 2021
Nikhil Ravi, Anna Scaglione, Sachin Kadam, Reinhard Gentz, Sean Peisert, Brent Lunghino, Emmanuel Levijarvi, Aram Shumavon

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* 10 pages, 8 figures 
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Learning from learning machines: a new generation of AI technology to meet the needs of science


Nov 27, 2021
Luca Pion-Tonachini, Kristofer Bouchard, Hector Garcia Martin, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus Zwart, Neeraj Kumar, Amy Justice, Claire Tomlin, Daniel Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Ken Kreutz-Delgado, Michael W. Mahoney, James B. Brown

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Colored Noise Mechanism for Differentially Private Clustering


Nov 15, 2021
Nikhil Ravi, Anna Scaglione, Sean Peisert

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* 5 pages, 3 figures, preprint 
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Catch Me If You Can: Using Power Analysis to Identify HPC Activity


May 06, 2020
Bogdan Copos, Sean Peisert

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