Past Conference Speaker

Nicolas Papernot

Assistant Professor and Canada CIFAR AI Chair
University of Toronto and Vector Institiute

Biography

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.

Latest news

Call for Speakers

Share your knowledge and insight with our growing global community of cybersecurity experts and professionals. We are looking for presenters who want to share their work and latest research in the fields of AI, machine learning, digital privacy, and cybersecurity to their peers around the world. Abstracts must be submitted by July 31st, 2021.

We value your privacy

By clicking “ACCEPT” you allow cookies that help us analyze the performance and usage of this website. See our Cookies Policy for more details. 

script>