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11/07/2022
Deviations in Representations Induced by Adversarial Attacks
Deep learning has been a popular topic and has achieved success in many ...
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11/13/2021
Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances
Deep learning models have been used for a wide variety of tasks. They ar...
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05/28/2021
Visualizing Representations of Adversarially Perturbed Inputs
It has been shown that deep learning models are vulnerable to adversaria...
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02/14/2020
Fast Fair Regression via Efficient Approximations of Mutual Information
Most work in algorithmic fairness to date has focused on discrete outcom...
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01/16/2020
Fairness Measures for Regression via Probabilistic Classification
Algorithmic fairness involves expressing notions such as equity, or reas...
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07/13/2018