Chang Xiao is a Research Scientist at Adobe Research. He obtained his PhD degree from Columbia University in 2021. His research interest includes human-computer interaction, computer graphics and machine learning, with a focus on building novel human-computer interaction systems using computational methods and machine learning. His research has been published in multiple top venue conferences like SIGGRAPH, CHI, UIST, NeurIPS and CVPR. His work has also attracted a lot of public interest, including media coverage from CNN, IEEE Spectrum, etc. He is a recipient of the Snap Research Fellowship in 2019 and Cheung-Kong Innovation Doctoral Fellowship in 2019 and 2020. Prior to Columbia, he got his bachelor degree in the Chu Kochen Honors College and College of Computer Science at Zhejiang University in 2016.

For more information, please visit his personal website.

Publications

Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel

Maia, H., Xiao, C., Li, D., Grinspun, E., Zheng, C. (Aug. 9, 2022)

USENIX Security 2022