Nicolas Papernot is an Assistant Professor at the University of Toronto and a Canada CIFAR AI Chair at the Vector Institute. Previously, he was a research scientist at Google Brain. 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 Prof. Patrick McDaniel and supported by a Google PhD Fellowship.