| VeriFi: Towards Verifiable Federated Unlearning X Gao, X Ma, J Wang, Y Sun, B Li, S Ji, P Cheng, J Chen IEEE Transactions on Dependable and Secure Computing, 2024 | 124 | 2024 |
| Generating Adversarial Examples against Machine Learning based Intrusion Detector in Industrial Control Systems J Chen, X Gao, R Deng, Y He, C Fang, P Cheng IEEE Transactions on Dependable and Secure Computing, 2020 | 92 | 2020 |
| TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors R Pang, Z Zhang, X Gao, Z Xi, S Ji, P Cheng, X Luo, T Wang 2022 IEEE 7th European Symposium on Security and Privacy (EuroS&P), 684-702, 2022 | 48 | 2022 |
| Trojanzoo: Everything you ever wanted to know about neural backdoors (but were afraid to ask) R Pang, Z Zhang, X Gao, Z Xi, S Ji, P Cheng, T Wang. arXiv preprint arXiv:2012.09302 6, 2020 | 43 | 2020 |
| TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask) R Pang, Z Zhang, X Gao, Z Xi, S Ji, P Cheng, T Wang arXiv preprint arXiv:2012.09302, 2020 | 28 | 2020 |
| Efficient Vertical Federated Unlearning via Fast Retraining Z Wang, X Gao, C Wang, P Cheng, J Chen ACM Transactions on Internet Technology, 2024 | 20 | 2024 |
| TeDA: A Testing Framework for Data Usage Auditing in Deep Learning Model Development X Gao, J Chen, J Wang, J Shi, P Cheng, J Chen ISSTA 2024: Proceedings of the 33rd ACM SIGSOFT International Symposium on …, 2024 | 2 | 2024 |
