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Tianhao Wang
Tianhao Wang
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Title
Cited by
Cited by
Year
Locally differentially private protocols for frequency estimation
T Wang, J Blocki, N Li, S Jha
Proceedings of the 26th USENIX Security Symposium, 2017
6172017
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
3262018
Locally differentially private frequent itemset mining
T Wang, N Li, S Jha
2018 IEEE Symposium on Security and Privacy (SP), 127-143, 2018
2152018
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
2142021
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
1412018
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
1312022
Locally differentially private heavy hitter identification
T Wang, N Li, S Jha
IEEE Transactions on Dependable and Secure Computing, 2021
1282021
PrivSyn: Differentially Private Data Synthesis
Z Zhang, T Wang, N Li, J Honorio, M Backes, S He, J Chen, Y Zhang
USENIX Security, 2021
1062021
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
922020
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
882019
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
83*2022
Locally Differentially Private Frequency Estimation with Consistency
T Wang, M Lopuhaä-Zwakenberg, Z Li, B Skoric, N Li
NDSS, 2020
82*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
642020
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
632021
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
63*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
48*2020
Answering multi-dimensional range queries under local differential privacy
J Yang, T Wang, N Li, X Cheng, S Su
VLDB, 2021
422021
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
322023
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
322022
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
292023
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