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10/07/2021
Automated Testing of AI Models
The last decade has seen tremendous progress in AI technology and applic...
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08/25/2021
Inducing Semantic Grouping of Latent Concepts for Explanations: An Ante-Hoc Approach
Self-explainable deep models are devised to represent the hidden concept...
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06/21/2020
Verifying Individual Fairness in Machine Learning Models
We consider the problem of whether a given decision model, working with ...
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05/09/2019
Exploring the Hyperparameter Landscape of Adversarial Robustness
Adversarial training shows promise as an approach for training models th...
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11/11/2018
Explaining Deep Learning Models using Causal Inference
Although deep learning models have been successfully applied to a variet...
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02/02/2018
Hardening Deep Neural Networks via Adversarial Model Cascades
Deep neural networks (DNNs) have been shown to be vulnerable to adversar...
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03/23/2016
