Certifying Neural Network Robustness to Random Input Noisefrom Samples
Image credit: John Moeses BauanThe authors proposed a certification method to upper bound the propability of misclassification when the input noise follows an arbitrary probability distribution. The problem is formulated as a chance-contrained optimization problem which can be solved via scenario approach.
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Tianle Zhang
PhD Student in Computer Science
My current research interests lie in (i) Robustness and Safety on Deep Neural Networks; (ii) Machine Learning and Statistical Learning.