26 citations · 61 across the 16 of their papers we have counts for
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cs.LG2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar, Farhad Pourpanah, Sadiq Hussain +9
Uncertainty quantification (UQ) plays a pivotal role in reduction of uncertainties during both optimization and decision making processes. It can be applied to solve a variety of r…
cs.LG2019★ 16 cited
Potential adversarial samples for white-box attacks
Amir Nazemi, Paul Fieguth
Deep convolutional neural networks can be highly vulnerable to small perturbations of their inputs, potentially a major issue or limitation on system robustness when using deep net…