I lead the team that protects TikTok’s Community Health, under the Business Risk Integrated Control team (BRIC).

I graduated from Computer Science Department at UC, Santa Barbara. I was working in the SAND Lab (Systems, Algorithms, Networking and Data), co-advised by Professor Ben Y. Zhao and Professor Heather Zheng. I received my bachelor degree of Electronic Engineering from Tsinghua University in 2013.

My Ph.D. thesis focuses on the Security and Performance of Deep Learning. It is mainly about identifying vulnerabilities and novel attacks caused by the non-transparent nature of Deep Learning models. My work tries to identify most critical threats and design defenses to secure DL systems.

My general research interest is Security and Privacy. Apart from Deep Learning systems, my work also covers Mobile applications, Online Social Networks (OSNs), and Crowdsourcing systems. I am particularly interested in measurement and data-driven analysis of such systems. My goal is to further understand Internet systems, identify security issues, and provide practical solutions.

PUBLICATIONS

NoiseScope: Detecting Deepfake Images in a Blind Setting
Jiameng Pu, Neal Mangaokar, Bolun Wang, Chandan K. Reddy, Bimal Viswanath
Proceedings of the Annual Computer Security Applications Conference
ACSAC, Austin, TX, December 2020. Links: PDF

Gotta Catch’em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks
Shawn Shan, Emily Willson, Bolun Wang, Bo Li, Haitao Zheng, Ben Y. Zhao
Proceedings of ACM Conference on Computer and Communications Security
CCS, Orlando, FL, November 2020.
Links: arXiv

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
Proceedings of the 40th IEEE Symposium on Security and Privacy
S&P, San Francisco, CA, May 2019.
Links: PDF, Slides, Code, Talk

With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning
Bolun Wang, Yuanshun Yao, Bimal Viswanath, Haitao Zheng and Ben Y. Zhao
Proceedings of the 27th USENIX Security Symposium
USENIX Security, Baltimore, MD, August 2018.
Links: PDF, Slides, Code

Complexity vs. Performance: Empirical Analysis of Machine Learning as a Service
Yuanshun Yao, Zhujun Xiao, Bolun Wang, Bimal Viswanath, Haitao Zheng, Ben Y. Zhao
Proceedings of the 17th ACM SIGCOMM Internet Measurement Conference
IMC, London, UK, November 2017.
Links: PDF

Anatomy of a Personalized Livestreaming System
Bolun Wang, Xinyi Zhang, Gang Wang, Haitao Zheng, Ben Y. Zhao
Proceedings of The 16th ACM Internet Measurement Conference
IMC, Santa Monica, California, USA, Nov. 2016.
Links: PDF, Slides

Defending against Sybil Devices in Crowdsourced Mapping Services
Gang Wang, Bolun Wang, Tianyi Wang, Ana Nika, Haitao Zheng, Ben Y. Zhao
Proceedings of The 14th ACM International Conference on Mobile Systems, Applications, and Services
MobiSys, Singapore, June 2016.
Links: PDF, Slides, Talk, Video, Media

Crowds on Wall Street: Extracting Value from Collaborative Investing Platforms
Gang Wang, Tianyi Wang, Bolun Wang, Divya Sambasivan, Zengbin Zhang, Haitao Zheng, Ben Y. Zhao
Proceedings of The 18th ACM Conference on Computer-Supported Cooperative Work and Social Computing
CSCW, Vancouver, BC, Canada, March 2015.
Links: PDF

Whispers in the Dark: Analysis of an Anonymous Social Network
Gang Wang, Bolun Wang, Tianyi Wang, Ana Nika, Haitao Zheng, Ben Y. Zhao
Proceedings of The 14th Internet Measurement Conference
IMC, Vancouver, BC, Canada, Nov. 2014.
Links: PDF

JOURNALS

Ghost Riders: Sybil Attacks on Crowdsourced Mobile Mapping Services
Gang Wang, Bolun Wang, Tianyi Wang, Ana Nika, Haitao Zheng, Ben Y. Zhao
IEEE/ACM Transaction on Networking (TON), 2018
Links: PDF

Value and Misinformation in Collaborative Investing Platforms
Tianyi Wang, Gang Wang, Bolun Wang, Divya Sambasivan, Zengbin Zhang, Xing Li, Haitao Zheng, Ben Y. Zhao
ACM Transactions on the Web (TWEB), 2017.
Links: PDF

The Power of Comments: Fostering Social Interactions in Microblog Networks
Tianyi Wang, Yang Chen, Yi Wang, Bolun Wang, Gang Wang, Xing Li, Haitao Zheng, Ben Y. Zhao
Springer Frontiers of Computer Science (FCS), 2016.
Links: PDF

SOMETHING FUN