80 citations · 87 across the 6 of their papers we have counts for
6 papers
Trojans in Artificial Intelligence (TrojAI) Final Report
Kristopher W. Reese, Taylor Kulp-McDowall, Michael Majurski +68
The Intelligence Advanced Research Projects Activity (IARPA) launched the TrojAI program to confront an emerging vulnerability in modern artificial intelligence: the threat of AI T…
UniCoMTE: A Universal Counterfactual Framework for Explaining Time-Series Classifiers on ECG Data
Justin Li, Efe Sencan, Jasper Zheng Duan +3
Machine learning models, particularly deep neural networks, have demonstrated strong performance in classifying complex time series data. However, their black-box nature limits tru…
Counterfactual Explanations for Machine Learning on Multivariate Time Series Data
Emre Ates, Burak Aksar, Vitus J. Leung +1
Applying machine learning (ML) on multivariate time series data has growing popularity in many application domains, including in computer system management. For example, recent hig…
Sensitivity of the Performance of a Simple Exchange Model to its Topology
Vitus J. Leung, Randall A. LaViolette
We study a simple exchange model in which price is fixed and the amount of a good transferred between actors depends only on the actors' respective budgets and the existence of a l…
Community Detection via Facility Location
Jonathan W. Berry, Bruce Hendrickson, Randall A. LaViolette +2
In this paper we apply theoretical and practical results from facility location theory to the problem of community detection in networks. The result is an algorithm that computes b…
Communication-Aware Processor Allocation for Supercomputers
Michael A. Bender, David P. Bunde, Erik D. Demaine +4
This paper gives processor-allocation algorithms for minimizing the average number of communication hops between the assigned processors for grid architectures, in the presence of…