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Presenter

Linyi Li

University of Illinois Urbana-Champaign

Linyi Li is a Computer Science PhD candidate at UIUC, advised by Prof. Bo Li and co-advised by Prof. Tao Xie. His research lies in the intersection of computer security, machine learning, and software engineering. He focuses on building certifiably trustworthy deep learning systems at scale by proposing state-of-the-art certification and training methods for various trustworthy properties such as robustness, fairness, and numerical reliability. He has published over 20 papers at ICSE, FSE, S&P, CCS, ICML, NeurIPS, ICLR, etc. Linyi is a recipient of Adversarial Machine Learning Rising Star Award, Rising Star in Data Science Award, the Wing Kai Cheng Fellowship, and a finalist of Qualcomm Innovation Fellowship and Two Sigma PhD Fellowship.



Presentations by Linyi Li
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects
Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects
Linyi Li


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