News
- [04/02/2021] One paper is accepted by CVPR 2021.
- [12/01/2020] I pass the Ph.D. Preliminary Examination on November 2020.
- [09/01/2020] I become a Ph.D. student at University of California, Irvine on September 2020.
- No Hidden News.
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Research
My research interests include Adversarial Machine Learning and Data-driven Security.
Much of my research is about inferring the physical world and real world applications.
Representative papers are highlighted.
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Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification?
Ruoxi Jia, Fan Wu*, Xuehui Sun*, Jiacen Xu*, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song (*= Equal Contribution)
CVPR, 2021
project page /
arXiv
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Towards a unified min-max framework for adversarial exploration and robustness
Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li
arXiv, 2019
arXiv
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