Shawn Shan

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Haitao ZhengNeubauer Professor of Computer Science, University of ChicagoVerified email at cs.uchicago.edu
Ben Y. ZhaoNeubauer Professor of Computer Science, University of ChicagoVerified email at uchicago.edu
Huiying LiUniversity of ChicagoVerified email at uchicago.edu
Bolun WangByteDanceVerified email at bytedance.com
Emily WengerUniversity of ChicagoVerified email at uchicago.edu
Bimal ViswanathAssistant Professor of Computer Science at Virginia TechVerified email at cs.vt.edu
Michelle L. MazurekAssociate Professor, University of MarylandVerified email at umd.edu
Blase UrAssistant Professor, University of ChicagoVerified email at uchicago.edu
Bo LiUniversity of Illinois at Urbana–ChampaignVerified email at illinois.edu
Paul PearceAssistant Professor, Georgia TechVerified email at gatech.edu
Frank LiAssistant Professor, Georgia TechVerified email at gatech.edu
Arjun Nitin BhagojiPostdoctoral Scholar, University of ChicagoVerified email at uchicago.edu

Shawn Shan

University of Chicago

Verified email at cs.uchicago.edu - Homepage

Machine Learning Security Privacy


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Neural cleanse: Identifying and mitigating backdoor attacks in neural networks B Wang, Y Yao, S Shan, H Li, B Viswanath, H Zheng, BY Zhao 2019 IEEE Symposium on Security and Privacy (SP), 707-723, 2019	354	2019
Fawkes: Protecting Privacy against Unauthorized Deep Learning Models S Shan, E Wenger, J Zhang, H Li, H Zheng, BY Zhao USENIX Security Symposium (USENIX Security 2020), 2020	56	2020
Unpacking perceptions of data-driven inferences underlying online targeting and personalization C Dolin, B Weinshel, S Shan, CM Hahn, E Choi, ML Mazurek, B Ur Proceedings of the 2018 CHI conference on human factors in computing systems …, 2018	34	2018
Gotta Catch’Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks S Shan, E Wenger, B Wang, B Li, H Zheng, BY Zhao Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020	31*	2020
Piracy Resistant Watermarks for Deep Neural Networks H Li, E Wenger, S Shan, BY Zhao, H Zheng arXiv preprint arXiv:1910.01226, 2019	25*	2019
Oh, the Places You’ve Been! User Reactions to Longitudinal Transparency About Third-Party Web Tracking and Inferencing B Weinshel, M Wei, M Mondal, E Choi, S Shan, C Dolin, ML Mazurek, ... Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2019	20	2019
Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks H Li, S Shan, E Wenger, J Zhang, BY Zheng, Haitao, Zhao arXiv preprint arXiv:2006.14042, 2020	8	2020
Deep Entity Classification: Abusive Account Detection for Online Social Networks T Xu, G Goossen, HK Cevahir, S Khodeir, Y Jin, F Li, S Shan, S Patel, ...	4	2021
Penny auctions are predictable: Predicting and profiling user behavior on dealdash X Zhang, S Shan, S Tang, H Zheng, BY Zhao Proceedings of the 29th on Hypertext and Social Media, 123-127, 2018	2	2018
A Real-time Defense against Website Fingerprinting Attacks S Shan, AN Bhagoji, H Zheng, BY Zhao arXiv preprint arXiv:2102.04291, 2021	1	2021
Traceback of Data Poisoning Attacks in Neural Networks S Shan, AN Bhagoji, H Zheng, BY Zhao arXiv preprint arXiv:2110.06904, 2021		2021

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