| 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 | 1640 | 2019 |
| Defending against Sybil Devices in Crowdsourced Mapping Services G Wang, B Wang, T Wang, A Nika, H Zheng, BY Zhao Proceedings of the 14th Annual International Conference on Mobile Systems …, 2016 | 156 | 2016 |
| Whispers in the dark: analysis of an anonymous social network G Wang, B Wang, T Wang, A Nika, H Zheng, BY Zhao Proceedings of the 2014 Conference on Internet Measurement Conference, 137-150, 2014 | 143 | 2014 |
| With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning B Wang, Y Yao, B Viswanath, H Zheng, BY Zhao 27th {USENIX} Security Symposium ({USENIX} Security 18), 1281-1297, 2018 | 142 | 2018 |
| Complexity vs. performance: empirical analysis of machine learning as a service Y Yao, Z Xiao, B Wang, B Viswanath, H Zheng, BY Zhao Proceedings of the 2017 Internet Measurement Conference, 384-397, 2017 | 123 | 2017 |
| Crowds on Wall Street: Extracting Value from Collaborative Investing Platforms G Wang, T Wang, B Wang, D Sambasivan, Z Zhang, H Zheng, BY Zhao Proceedings of the 18th ACM Conference on Computer Supported Cooperative …, 2015 | 106* | 2015 |
| Anatomy of a personalized livestreaming system B Wang, X Zhang, G Wang, H Zheng, BY Zhao Proceedings of the 2016 Internet Measurement Conference, 485-498, 2016 | 90 | 2016 |
| 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 | 75 | 2020 |
| Ghost riders: Sybil attacks on crowdsourced mobile mapping services G Wang, B Wang, T Wang, A Nika, H Zheng, BY Zhao IEEE/ACM transactions on networking 26 (3), 1123-1136, 2018 | 58 | 2018 |
| Deepfake Videos in the Wild: Analysis and Detection J Pu, N Mangaokar, L Kelly, P Bhattacharya, K Sundaram, M Javed, ... Proceedings of the Web Conference 2021, 981-992, 2021 | 57 | 2021 |
| Scaling Deep Learning Models for Spectrum Anomaly Detection Z Li, Z Xiao, B Wang, BY Zhao, H Zheng Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc …, 2019 | 39 | 2019 |
| Using honeypots to catch adversarial attacks on neural networks S Shan Proceedings of the 8th ACM Workshop on Moving Target Defense, 25-25, 2021 | 33 | 2021 |
| Noisescope: Detecting deepfake images in a blind setting J Pu, N Mangaokar, B Wang, CK Reddy, B Viswanath Proceedings of the 36th Annual Computer Security Applications Conference …, 2020 | 33 | 2020 |
| Value and misinformation in collaborative investing platforms T Wang, G Wang, B Wang, D Sambasivan, Z Zhang, X Li, H Zheng, ... ACM Transactions on the Web (TWEB) 11 (2), 1-32, 2017 | 23 | 2017 |
| The power of comments: fostering social interactions in microblog networks T Wang, Y Chen, Y Wang, B Wang, G Wang, X Li, H Zheng, BY Zhao Frontiers of Computer Science 10 (5), 889-907, 2016 | 16 | 2016 |
| Wireless Side-Lobe Eavesdropping Attacks Y Zhu, Y Ju, B Wang, J Cryan, BY Zhao, H Zheng arXiv preprint arXiv:1810.10157, 2018 | 9 | 2018 |
| Improving and Securing Machine Learning Systems B Wang University of California, Santa Barbara, 2018 | 1 | 2018 |
| Go a Catch’Em All: Using Honeypots to Catch Adversarial A acks on Neural Networks S Shan, E Wenger, B Wang, B Li, H Zheng, BY Zhao | | 2020 |
Ben Y. ZhaoNeubauer Professor of Computer Science, University of Chicago在 uchicago.edu 的电子邮件经过验证
