Adam Dziedzic is a Postdoctoral Fellow at the University of Toronto and Vector Institute, advised by Prof. Nicolas Papernot. His research focus is on secure and trustworthy machine learning, especially model stealing and defenses as well as on collaborative machine learning. Adam finished his Ph.D. at the University of Chicago, advised by Prof. Sanjay Krishnan, where he worked on input and model compression for adaptive and robust neural networks. He obtained his Bachelor's and Master's degrees from Warsaw University of Technology. Adam was also studying at the Technical University of Denmark and EPFL. He worked at CERN, Barclays Investment Bank, Microsoft Research, and Google.

Connect with Adam: https://www.linkedin.com/in/adziedzic/.

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