| Locally differentially private protocols for frequency estimation T Wang, J Blocki Proceedings of the 26th USENIX Security Symposium, 2017 | 401 | 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 | 177 | 2018 |
| Locally differentially private frequent itemset mining T Wang, N Li, S Jha 2018 IEEE Symposium on Security and Privacy (SP), 127-143, 2018 | 145 | 2018 |
| 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 | 94 | 2018 |
| Locally differentially private heavy hitter identification T Wang, N Li, S Jha IEEE Transactions on Dependable and Secure Computing, 2021 | 81 | 2021 |
| 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 | 71 | 2021 |
| 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 | 57 | 2019 |
| 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 | 50 | 2020 |
| Locally Differentially Private Frequency Estimation with Consistency T Wang, M Lopuhaä-Zwakenberg, Z Li, B Skoric, N Li NDSS, 2020 | 48* | 2020 |
| PrivSyn: Differentially Private Data Synthesis Z Zhang, T Wang, N Li, J Honorio, M Backes, S He, J Chen, Y Zhang USENIX Security, 2021 | 44 | 2021 |
| 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 | 33* | 2020 |
| 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 | 29 | 2020 |
| 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 | 18 | 2021 |
| Answering multi-dimensional range queries under local differential privacy J Yang, T Wang, N Li, X Cheng, S Su VLDB, 2021 | 18 | 2021 |
| 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 | 17 | 2022 |
| Collecting and analyzing data jointly from multiple services under local differential privacy M Xu, B Ding, T Wang, J Zhou Proceedings of the VLDB Endowment 13 (12), 2760-2772, 2020 | 12 | 2020 |
| Dpsaas: Multi-dimensional data sharing and analytics as services under local differential privacy M Xu, T Wang, B Ding, J Zhou, C Hong, Z Huang Proceedings of the VLDB Endowment 12 (12), 1862-1865, 2019 | 9 | 2019 |
| Weight balancing on boundaries and skeletons L Barba, O Cheong, JL De Carufel, MG Dobbins, R Fleischer, ... Proceedings of the thirtieth annual symposium on Computational geometry, 436-443, 2014 | 8 | 2014 |
| Locally differentially private sparse vector aggregation M Zhou, T Wang, THH Chan, G Fanti, E Shi 2022 IEEE Symposium on Security and Privacy (SP), 422-439, 2022 | 6 | 2022 |
| Koinonia: verifiable e-voting with long-term privacy H Ge, SY Chau, VE Gonsalves, H Li, T Wang, X Zou, N Li Proceedings of the 35th Annual Computer Security Applications Conference …, 2019 | 6 | 2019 |
Ninghui LiProfessor of Computer Science, Purdue UniversityVerified email at cs.purdue.edu
