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I am a first-year Ph.D. student in DSP Lab, Department of Electrical Engineering and Computer Science at University of California, Irvine. My advisor is Prof. Zhou Li. I received my B.S. and Master degree from Shanghai Jiao Tong University and got Outstanding Undergraduate in 2017 and Outstanding Graduate in 2020. Email / Github / Google Scholar / Twitter / Blogs |
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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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Ruoxi Jia, Xuehui Sun, Jiacen Xu, Ce Zhang, Bo Li, Dawn Song arXiv, 2019 project page / arXiv In this work, we develop a simple and efficient heuristic for data valuation based on the Shapley value with complexity independent with the model size. |
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Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li arXiv, 2019 arXiv By solving a min-max problem, the self-adjusted domain weights learned from our method provides a means to explain the difficulty level of attack and defense over multiple domains. |
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Great thanks to Jon Barron and Yingwei Li. |