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Huan Zhang
Ph.D
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Recently my research mainly focuses on robustness of machine learning, including adversarial examples, rigorous robustness verification and certified defenses. My advisors is Prof. Cho-Jui Hsieh. During 2015-2018 I was co-advised by Prof. Venkatesh Akella and Prof. Cho-Jui Hsieh at UC Davis. During 2012-2015, I also worked on a few topics in computer architecture and computer networks with Prof. Venkatesh Akella, Prof. Matthew Farrens and Prof. S. J. Ben Yoo.
Papers60 papers
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ICLR, (2020)
NeurIPS, (2020)
ICML, pp.10104-10114, (2020)
(2020)
Mach. Learn., no. 12 (2020): 2349-2368
national conference on artificial intelligence, (2020)
ICLR, (2020)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 12317-12328
national conference on artificial intelligence, (2019)
Huang Po-Sen,Zhang Huan, Jiang Ray, Stanforth Robert, Welbl Johannes, Rae Jack, Maini Vishal,Yogatama Dani,Kohli Pushmeet
EMNLP, pp.65-83, (2019)
neural information processing systems, pp.11289-11300, (2019)
Cited by64EIBibtex
AAAI, (2019)
ICLR, (2019)
EIBibtex
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