| Locally differentially private protocols for frequency estimation T Wang, J Blocki, N Li, S Jha Proceedings of the 26th USENIX Security Symposium, 2017 | 663 | 2017 |
| Privacy at scale: Local differential privacy in practice G Cormode, S Jha, T Kulkarni, N Li, D Srivastava, T Wang Proceedings of the 2018 International Conference on Management of Data, 1655 …, 2018 | 362 | 2018 |
| When machine unlearning jeopardizes privacy M Chen, Z Zhang, T Wang, M Backes, M Humbert, Y Zhang Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 266 | 2021 |
| Locally differentially private frequent itemset mining T Wang, N Li, S Jha 2018 IEEE Symposium on Security and Privacy (SP), 127-143, 2018 | 224 | 2018 |
| Graph unlearning M Chen, Z Zhang, T Wang, M Backes, M Humbert, Y Zhang Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022 | 182 | 2022 |
| Calm: Consistent adaptive local marginal for marginal release under local differential privacy Z Zhang, T Wang, N Li, S He, J Chen Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018 | 151 | 2018 |
| Locally differentially private heavy hitter identification T Wang, N Li, S Jha IEEE Transactions on Dependable and Secure Computing, 2021 | 134 | 2021 |
| PrivSyn: Differentially Private Data Synthesis Z Zhang, T Wang, N Li, J Honorio, M Backes, S He, J Chen, Y Zhang USENIX Security, 2021 | 126 | 2021 |
| An empirical analysis of memorization in fine-tuned autoregressive language models F Mireshghallah, A Uniyal, T Wang, DK Evans, T Berg-Kirkpatrick Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 123* | 2022 |
| Estimating numerical distributions under local differential privacy Z Li, T Wang, M Lopuhaä-Zwakenberg, N Li, B Škoric Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 108 | 2020 |
| Locally Differentially Private Frequency Estimation with Consistency T Wang, M Lopuhaä-Zwakenberg, Z Li, B Skoric, N Li NDSS, 2020 | 92* | 2020 |
| Answering multi-dimensional analytical queries under local differential privacy T Wang, B Ding, J Zhou, C Hong, Z Huang, N Li, S Jha Proceedings of the 2019 International Conference on Management of Data, 159-176, 2019 | 92 | 2019 |
| Differential privacy for text analytics via natural text sanitization X Yue, M Du, T Wang, Y Li, H Sun, SSM Chow Findings of ACL, 3853--3866, 2021 | 90* | 2021 |
| Continuous release of data streams under both centralized and local differential privacy T Wang, JQ Chen, Z Zhang, D Su, Y Cheng, Z Li, N Li, S Jha Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 77 | 2021 |
| Towards Effective Differential Privacy Communication for Users’ Data Sharing Decision and Comprehension A Xiong, T Wang, N Li, S Jha 2020 IEEE Symposium on Security and Privacy (SP), 392-410, 2020 | 75 | 2020 |
| DP-Forward: Fine-tuning and inference on language models with differential privacy in forward pass M Du, X Yue, SSM Chow, T Wang, C Huang, H Sun Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 60 | 2023 |
| Improving utility and security of the shuffler-based differential privacy T Wang, B Ding, M Xu, Z Huang, C Hong, J Zhou, N Li, S Jha VLDB, 2020 | 47* | 2020 |
| Machine Unlearning of Pre-trained Large Language Models J Yao, E Chien, M Du, X Niu, T Wang, Z Cheng, X Yue arXiv preprint arXiv:2402.15159, 2024 | 46 | 2024 |
| Answering multi-dimensional range queries under local differential privacy J Yang, T Wang, N Li, X Cheng, S Su VLDB, 2021 | 46 | 2021 |
| PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov Models H Wang, Z Zhang, T Wang, S He, M Backes, J Chen, Y Zhang 32nd USENIX Security Symposium (USENIX Security 23), 1649-1666, 2023 | 40 | 2023 |
Ninghui LiProfessor of Computer Science, Purdue UniversityE-mail megerősítve itt: cs.purdue.edu