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Ting Wang
Ting Wang
Verified email at cs.stonybrook.edu - Homepage
Title
Cited by
Cited by
Year
TextBugger: Generating Adversarial Text Against Real-world Applications
J Li, S Ji, T Du, B Li, T Wang
Proceedings of the Network and Distributed System Security Symposium (NDSS), 2019
7922019
Supporting anonymous location queries in mobile environments with privacygrid
B Bamba, L Liu, P Pesti, T Wang
International Conference on World Wide Web, 2008
6502008
Privacy-aware mobile services over road networks
T Wang, L Liu
Proceedings of the VLDB Endowment 2 (1), 1042-1053, 2009
2312009
Interpretable deep learning under fire
X Zhang, N Wang, H Shen, S Ji, X Luo, T Wang
USENIX Security Symposium, 2020
2082020
Model-reuse attacks on deep learning systems
Y Ji, X Zhang, S Ji, X Luo, T Wang
ACM Conference on Computer and Communications Security, 2018
2042018
Label inference attacks against vertical federated learning
C Fu, X Zhang, S Ji, J Chen, J Wu, S Guo, J Zhou, AX Liu, T Wang
USENIX Security Symposium, 2022
2032022
Differentially private releasing via deep generative model (technical report)
X Zhang, S Ji, T Wang
ArXiv Pre-prints, 2018
1862018
Graph Backdoor
Z Xi, R Pang, S Ji, T Wang
USENIX Security Symposium, 2021
1732021
Deepsec: A uniform platform for security analysis of deep learning model
X Ling, S Ji, J Zou, J Wang, C Wu, B Li, T Wang
IEEE Symposium on Security and Privacy, 2019
1702019
Sirenattack: Generating adversarial audio for end-to-end acoustic systems
T Du, S Ji, J Li, Q Gu, T Wang, R Beyah
ACM ASIA Conference on Computer and Communications Security, 2020
1482020
Tokenscope: Automatically detecting inconsistent behaviors of cryptocurrency tokens in ethereum
T Chen, Y Zhang, Z Li, X Luo, T Wang, R Cao, X Xiao, X Zhang
ACM Conference on Computer and Communications Security, 2019
1472019
Trojaning Language Models for Fun and Profit
X Zhang, Z Zhang, T Wang
6th IEEE European Symposium on Security and Privacy (EuroS&P '21), 2021
1452021
Adaptive routing for sensor networks using reinforcement learning
P Wang, T Wang
IEEE International Conference on Computer and Information Technology, 2006
1332006
A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models
R Pang, X Zhang, S Ji, Y Vorobeychik, X Luo, T Wang
ACM Conference on Computer and Communications Security, 2020
1202020
Backdoor pre-trained models can transfer to all
L Shen, S Ji, X Zhang, J Li, J Chen, J Shi, C Fang, J Yin, T Wang
Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021
1192021
Unifuzz: A holistic and pragmatic metrics-driven platform for evaluating fuzzers
Y Li, S Ji, Y Chen, S Liang, WH Lee, Y Chen, C Lyu, C Wu, R Beyah, ...
USENIX Security Symposium, 2021
1152021
Differentially private distributed online learning
C Li, P Zhou, L Xiong, Q Wang, T Wang
IEEE transactions on knowledge and data engineering 30 (8), 1440-1453, 2018
1122018
Private, yet practical, multiparty deep learning
X Zhang, S Ji, H Wang, T Wang
IEEE International Conference on Distributed Computing Systems, 2017
822017
Backdoor attacks against learning systems
Y Ji, X Zhang, T Wang
IEEE Conference on Communications and Network Security, 2017
812017
An Invisible Black-Box Backdoor Attack Through Frequency Domain
T Wang, Y Yao, F Xu, S An, H Tong, T Wang
European Conference on Computer Vision (ECCV), 2022
742022
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