# Certifying Neural Network Robustness to Random Input Noisefrom Samples

Image credit: John Moeses Bauan

The 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.

##### 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.