| 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 | 1717 | 2019 |
| Latent backdoor attacks on deep neural networks Y Yao, H Li, H Zheng, BY Zhao Proceedings of the 2019 ACM SIGSAC conference on computer and communications …, 2019 | 497 | 2019 |
| A daily global mesoscale ocean eddy dataset from satellite altimetry JH Faghmous, I Frenger, Y Yao, R Warmka, A Lindell, V Kumar Scientific data 2 (1), 1-16, 2015 | 356 | 2015 |
| Trustworthy LLMs: A survey and guideline for evaluating large language models' alignment Y Liu, Y Yao, JF Ton, X Zhang, RGH Cheng, Y Klochkov, MF Taufiq, H Li arXiv preprint arXiv:2308.05374, 2023 | 277 | 2023 |
| Automated crowdturfing attacks and defenses in online review systems Y Yao, B Viswanath, J Cryan, H Zheng, BY Zhao Proceedings of the 2017 ACM SIGSAC conference on computer and communications …, 2017 | 228 | 2017 |
| Backdoor attacks against deep learning systems in the physical world E Wenger, J Passananti, AN Bhagoji, Y Yao, H Zheng, BY Zhao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 223 | 2021 |
| 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 | 148 | 2018 |
| Large language model unlearning Y Yao, X Xu, Y Liu arXiv preprint arXiv:2310.10683, 2023 | 139 | 2023 |
| 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 | 129 | 2017 |
| Rethinking machine unlearning for large language models S Liu, Y Yao, J Jia, S Casper, N Baracaldo, P Hase, Y Yao, CY Liu, X Xu, ... arXiv preprint arXiv:2402.08787, 2024 | 98 | 2024 |
| Object recognition and navigation using a single networking device Y Zhu, Y Yao, BY Zhao, H Zheng Proceedings of the 15th Annual International Conference on Mobile Systems …, 2017 | 45 | 2017 |
| Identifying value in crowdsourced wireless signal measurements Z Li, A Nika, X Zhang, Y Zhu, Y Yao, BY Zhao, H Zheng Proceedings of the 26th International Conference on World Wide Web, 607-616, 2017 | 41 | 2017 |
| Vertical federated learning without revealing intersection membership J Sun, X Yang, Y Yao, A Zhang, W Gao, J Xie, C Wang arXiv preprint arXiv:2106.05508, 2021 | 40 | 2021 |
| Differentially private label protection in split learning X Yang, J Sun, Y Yao, J Xie, C Wang arXiv preprint arXiv:2203.02073, 2022 | 39 | 2022 |
| Label leakage and protection from forward embedding in vertical federated learning J Sun, X Yang, Y Yao, C Wang arXiv preprint arXiv:2203.01451, 2022 | 38 | 2022 |
| Defending against reconstruction attack in vertical federated learning J Sun, Y Yao, W Gao, J Xie, C Wang arXiv preprint arXiv:2107.09898, 2021 | 31 | 2021 |
| A daily global mesoscale ocean eddy dataset from satellite altimetry. Sci. Data, 2, 150028 JH Faghmous, I Frenger, Y Yao, R Warmka, A Lindell, V Kumar | 31 | 2015 |
| Backdoor attacks on facial recognition in the physical world E Wenger, J Passananti, Y Yao, H Zheng, BY Zhao arXiv preprint arXiv:2006.14580 1, 2020 | 29 | 2020 |
| Weak proxies are sufficient and preferable for fairness with missing sensitive attributes Z Zhu, Y Yao, J Sun, H Li, Y Liu International Conference on Machine Learning, 43258-43288, 2023 | 19 | 2023 |
| Measuring and reducing llm hallucination without gold-standard answers via expertise-weighting J Wei, Y Yao, JF Ton, H Guo, A Estornell, Y Liu arXiv preprint arXiv:2402.10412, 2024 | 15 | 2024 |
Ben Y. ZhaoNeubauer Professor of Computer Science, University of Chicagouchicago.edu의 이메일 확인됨