| 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 31st USENIX security symposium (USENIX Security 22), 1397-1414, 2022 | 165 | 2022 |
| 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 | 96 | 2021 |
| Understanding the security risks of docker hub P Liu, S Ji, L Fu, K Lu, X Zhang, WH Lee, T Lu, W Chen, R Beyah Computer Security–ESORICS 2020: 25th European Symposium on Research in …, 2020 | 53 | 2020 |
| Sapprox: Enabling efficient and accurate approximations on sub-datasets with distribution-aware online sampling X Zhang, J Wang, J Yin Proceedings of the VLDB Endowment 10 (3), 109-120, 2016 | 39 | 2016 |
| Achieving load balance for parallel data access on distributed file systems D Huang, D Han, J Wang, J Yin, X Chen, X Zhang, J Zhou, M Ye IEEE Transactions on Computers 67 (3), 388-402, 2017 | 33 | 2017 |
| Seeing is living? rethinking the security of facial liveness verification in the deepfake era C Li, L Wang, S Ji, X Zhang, Z Xi, S Guo, T Wang 31th USENIX Security Symposium (USENIX Security 22), Boston, MA, 2022 | 30 | 2022 |
| {MPInspector}: A systematic and automatic approach for evaluating the security of {IoT} messaging protocols Q Wang, S Ji, Y Tian, X Zhang, B Zhao, Y Kan, Z Lin, C Lin, S Deng, ... 30th USENIX Security Symposium (USENIX Security 21), 4205-4222, 2021 | 30 | 2021 |
| Neuronfair: Interpretable white-box fairness testing through biased neuron identification H Zheng, Z Chen, T Du, X Zhang, Y Cheng, S Ji, J Wang, Y Yu, J Chen Proceedings of the 44th International Conference on Software Engineering …, 2022 | 29 | 2022 |
| Your labels are selling you out: Relation leaks in vertical federated learning P Qiu, X Zhang, S Ji, T Du, Y Pu, J Zhou, T Wang IEEE Transactions on Dependable and Secure Computing 20 (5), 3653-3668, 2022 | 25 | 2022 |
| A large-scale empirical analysis of the vulnerabilities introduced by third-party components in IoT firmware B Zhao, S Ji, J Xu, Y Tian, Q Wei, Q Wang, C Lyu, X Zhang, C Lin, J Wu, ... Proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2022 | 24 | 2022 |
| EMS: History-Driven Mutation for Coverage-based Fuzzing. C Lyu, S Ji, X Zhang, H Liang, B Zhao, K Lu, R Beyah NDSS, 2022 | 24 | 2022 |
| V-Shuttle: Scalable and Semantics-Aware Hypervisor Virtual Device Fuzzing G Pan, X Lin, X Zhang, Y Jia, S Ji, C Wu, X Ying, J Wang, Y Wu Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 22 | 2021 |
| GRIP-GAN: An attack-free defense through general robust inverse perturbation H Zheng, J Chen, H Du, W Zhu, S Ji, X Zhang IEEE Transactions on Dependable and Secure Computing 19 (6), 4204-4224, 2021 | 20 | 2021 |
| SLIME: Program-Sensitive Energy Allocation for Fuzzing C Lyu, H Liang, S Ji, X Zhang, B Zhao, M Han, Y Li, Z Wang, W Wang, ... Proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2022 | 17 | 2022 |
| " Is your explanation stable?" A Robustness Evaluation Framework for Feature Attribution Y Gan, Y Mao, X Zhang, S Ji, Y Pu, M Han, J Yin, T Wang Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022 | 14 | 2022 |
| Learning human motion prediction via stochastic differential equations K Lyu, Z Liu, S Wu, H Chen, X Zhang, Y Yin Proceedings of the 29th ACM International Conference on Multimedia, 4976-4984, 2021 | 14 | 2021 |
| Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings Y Mao, C Fu, S Wang, S Ji, X Zhang, Z Liu, J Zhou, AX Liu, R Beyah, ... 2022 IEEE Symposium on Security and Privacy (S&P), 1423-1439, 2022 | 13 | 2022 |
| IFIZZ: Deep-state and efficient fault-scenario generation to test IoT firmware P Liu, S Ji, X Zhang, Q Dai, K Lu, L Fu, W Chen, P Cheng, W Wang, ... 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 13 | 2021 |
| Constructing contrastive samples via summarization for text classification with limited annotations Y Du, T Ma, L Wu, F Xu, X Zhang, B Long, S Ji arXiv preprint arXiv:2104.05094, 2021 | 12 | 2021 |
| Speed up big data analytics by unveiling the storage distribution of sub-datasets J Wang, X Zhang, J Yin, R Wang, H Wu, D Han IEEE Transactions on Big Data 4 (2), 231-244, 2016 | 12 | 2016 |
Shouling JiProfessor, Zhejiang University & Georgia Institute of TechnologyVerified email at gatech.edu
