Nicholas Carlini

Research Scientist, Google

Nicholas Carlini is a Research Scientist at Google Brain, where he studies the security and privacy of neural networks. In his most recent work, he developed powerful attacks that fool deep learning algorithms with adversarial examples, for which he received the Distinguished Student Paper award at the IEEE Symposium on Security and Privacy 2017 and the Best Paper award at the International Conference on Machine Learning 2018. In total, he has received four best paper awards, and his work has been featured in the New York Times, the BBC, Science Magazine, Wired, Popular Science, and Communications of the ACM.