Nicolas Papernot is an Assistant Professor of Electrical and Computer Engineering at the University of Toronto and Canada CIFAR AI Chair at the Vector Institute. His research interests span the security and privacy of machine learning. Nicolas received a best paper award at ICLR 2017. He is also the co-author of CleverHans, an open-source library widely adopted in the technical community to benchmark machine learning in adversarial settings, and TF Privacy, an open-source library for training differentially private models. He serves on the program committees of several conferences including ACM CCS, IEEE S&P, and USENIX Security. He earned his Ph.D. at the Pennsylvania State University, working with Professor Patrick McDaniel and supported by a Google Ph.D. Fellowship. Upon graduating, he spent a year as a research scientist at Google Brain.