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I am a computer science student at the University of Chicago. My young research experience covers data-driven models of user behavior/interactions, security of machine learning models, and HCI. I mostly work with Prof. Ben Y. Zhao and Prof. Blase Ur. You can browse through some of the my recent projects .

I will be interning at Facebook for summer 2019.


  • Gotta Catch 'Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks
    Shawn Shan, Emily Willson, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao.
    arXiv preprint arXiv:1904.08554
    [ Paper ]
  • Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks
    Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng and Ben Y. Zhao.
    To Appear: Proceedings of IEEE Symposium on Security and Privacy (SP). San Francisco, CA, May 2019.
    [ Paper | Code ]
  • Penny Auctions are Predictable: Predicting and profiling user behavior on DealDash
    Xinyi Zhang, Shawn Shan, Shiliang Tang, Haitao Zheng and Ben Y. Zhao
    Proceedings of ACM Conference on Hypertext and Social Media (HT). Baltimore, MD, July 2018.
    [ Paper ]
  • Unpacking Perceptions of Data-Driven Inferences Underlying Online Targeting and Personalization
    Claire Dolin, Ben Weinshel, Shawn Shan, Chang Min Hahn, Euirim Choi, Michelle L. Mazurek, Blase Ur.
    Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI). Montreal, QC, Canada, April 2018.
    [ Paper | Video preview ]



    email: shansixioing@uchicago.edu