From Neural Network Verification to Efficient Robust Training
Fundamental concerns exist on the trustworthiness of deep learning systems, with examples including robustness, fairness, privacy and explainability. Phenomena like adversarial examples prompt the need to train robust networks and to provide formal guarantees on their behaviour. In this talk, we will first introduce the neural network verification problem. Then,…
