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Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities

Sep 30, 2020
Andrew Hryniowski, Xiao Yu Wang, Alexander Wong

* 5 pages 

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How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks

Sep 20, 2020
Alexander Wong, Xiao Yu Wang, Andrew Hryniowski

* 13 pages 

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Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms

Oct 29, 2019
Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiao Yu Wang, Alexander Wong

* 9 pages 

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Explaining with Impact: A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms

Oct 16, 2019
Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiao Yu Wang, Alexander Wong

* 9 pages 

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A deep-structured fully-connected random field model for structured inference

May 27, 2015
Alexander Wong, Mohammad Javad Shafiee, Parthipan Siva, Xiao Yu Wang

* IEEE Access Journal, vol. 3, pp. 469-477, 2015 
* Accepted, 13 pages 

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