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Verifying Individual Fairness in Machine Learning Models
We consider the problem of whether a given decision model, working with ...
06/21/2020 ∙ by Philips George John, et al. ∙
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Exploring the Hyperparameter Landscape of Adversarial Robustness
Adversarial training shows promise as an approach for training models th...
05/09/2019 ∙ by Evelyn Duesterwald, et al. ∙
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Explaining Deep Learning Models using Causal Inference
Although deep learning models have been successfully applied to a variet...
11/11/2018 ∙ by Tanmayee Narendra, et al. ∙
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Hardening Deep Neural Networks via Adversarial Model Cascades
Deep neural networks (DNNs) have been shown to be vulnerable to adversar...
02/02/2018 ∙ by Deepak Vijaykeerthy, et al. ∙
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Debugging Machine Learning Tasks
Unlike traditional programs (such as operating systems or word processor...
03/23/2016 ∙ by Aleksandar Chakarov, et al. ∙
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