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02/05/2023
Simulation-Driven Automated End-to-End Test and Oracle Inference
This is the first work to report on inferential testing at scale in indu...
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11/03/2020
Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning
The success of deep learning in recent years have led to a significant i...
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09/30/2020
Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities
The advances and successes in deep learning in recent years have led to ...
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09/12/2020
How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks
A critical step to building trustworthy deep neural networks is trust qu...
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10/16/2019
Explaining with Impact: A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms
There has been a significant surge of interest recently around the conce...
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10/16/2019
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms
There has been a significant surge of interest recently around the conce...
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12/20/2014
