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12/29/2021
Repairing Adversarial Texts through Perturbation
It is known that neural networks are subject to attacks through adversar...
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10/08/2021
TFix+: Self-configuring Hybrid Timeout Bug Fixing for Cloud Systems
Timeout bugs can cause serious availability and performance issues which...
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07/18/2021
Probabilistic Verification of Neural Networks Against Group Fairness
Fairness is crucial for neural networks which are used in applications w...
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07/17/2021
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling
Although deep learning has demonstrated astonishing performance in many ...
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02/23/2021
Rethinking Natural Adversarial Examples for Classification Models
Recently, it was found that many real-world examples without intentional...
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12/03/2020
Towards Repairing Neural Networks Correctly
Neural networks are increasingly applied to support decision making in s...
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07/28/2020
A systematic approach to identify and evaluate missing data patterns and mechanisms in multivariate educational, social, and behavioral research
Methods for addressing missing data have become much more accessible to ...
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09/22/2019