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Robustness guarantees for neural networks

Date: Monday, March 30, 2020 16:00 - 17:00
Speaker: Marta Kwiatkowska (Oxford University)
Location: Raiffeisen Lecture Hall, Central Building
Series: Institute colloquium
Host: Krishnendu Chatterjee
Contact: Arinya Eller
Central building lecture hall


Deep neural networks have achieved impressive experimental results in image classification, but can surprisingly be unstable with respect to adversarial perturbations, that is, minimal changes to the input image that cause the network to misclassify it. With potential applications including perception modules and end-to-end controllers for self-driving cars, this raises concerns about their safety. This lecture will describe progress with developing techniques to establish safety and probabilistic safety guarantees for deep neural networks, giving an overview of methods based on games, global optimisation and statistical approximation.

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