| VFL: A verifiable federated learning with privacy-preserving for big data in industrial IoT A Fu, X Zhang, N Xiong, Y Gao, H Wang, J Zhang IEEE Transactions on Industrial Informatics 18 (5), 3316-3326, 2020 | 227 | 2020 |
| A privacy-preserving and verifiable federated learning scheme X Zhang, A Fu, H Wang, C Zhou, Z Chen ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020 | 110 | 2020 |
| Ginver: Generative model inversion attacks against collaborative inference Y Yin, X Zhang, H Zhang, F Li, Y Yu, X Cheng, P Hu Proceedings of the ACM Web Conference 2023, 2122-2131, 2023 | 10 | 2023 |
| A robust adversarial attack against speech recognition with UAP Z Qin, X Zhang, S Li High-Confidence Computing 3 (1), 100098, 2023 | 5 | 2023 |
| Model Poisoning Attack on Neural Network Without Reference Data X Zhang, H Zhang, G Zhang, H Li, D Yu, X Cheng, P Hu IEEE Transactions on Computers 72 (10), 2978-2989, 2023 | 4 | 2023 |
| Membership Inference Attacks Against Incremental Learning in IoT Devices X Zhang, H Zhang, G Zhang, Y Yang, F Li, L Fan, Z Huang, X Cheng, ... IEEE Transactions on Mobile Computing, 2024 | | 2024 |
| Model Poisoning Attack against Neural Network Interpreters in IoT Devices X Zhang, F Li, H Zhang, H Zhang, Z Huang, L Fan, X Cheng, P Hu IEEE Transactions on Mobile Computing, 2024 | | 2024 |
| A Practical Trigger-Free Backdoor Attack on Neural Networks J Wang, X Zhang, X Cheng, P Hu, G Zhang arXiv preprint arXiv:2408.11444, 2024 | | 2024 |
