ARCANE: An Efficient Architecture for Exact Machine Unlearning. H Yan, X Li, Z Guo, H Li, F Li, X Lin IJCAI 6, 19, 2022 | 50 | 2022 |
Monitoring-based differential privacy mechanism against query flooding-based model extraction attack H Yan, X Li, H Li, J Li, W Sun, F Li IEEE Transactions on Dependable and Secure Computing 19 (4), 2680-2694, 2021 | 37* | 2021 |
Class attention transfer based knowledge distillation Z Guo, H Yan, H Li, X Lin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 25 | 2023 |
Protecting regression models with personalized local differential privacy X Li, H Yan, Z Cheng, W Sun, H Li IEEE Transactions on Dependable and Secure Computing 20 (2), 960-974, 2022 | 14 | 2022 |
PGSM-DPI: Precisely guided signature matching of deep packet inspection for traffic analysis H Yan, H Li, M Xiao, R Dai, X Zheng, X Zhao, F Li 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | 9 | 2019 |
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation Q Chen, Z Wang, J Chen, H Yan, X Lin IEEE Transactions on Parallel and Distributed Systems, 2023 | 6 | 2023 |
Automatic evasion of machine learning-based network intrusion detection systems H Yan, X Li, W Zhang, R Wang, H Li, X Zhao, F Li, X Lin IEEE Transactions on Dependable and Secure Computing, 2023 | 4 | 2023 |
Key‐Value Data Collection with Distribution Estimation under Local Differential Privacy X Li, H Yan, G Zheng, H Li, F Li Security and Communication Networks 2022 (1), 1330251, 2022 | 3 | 2022 |
Lldp: A layer-wise local differential privacy in federated learning Q Chen, H Wang, Z Wang, J Chen, H Yan, X Lin 2022 IEEE International Conference on Trust, Security and Privacy in …, 2022 | 2 | 2022 |
QP-LDP for better global model performance in federated learning Q Chen, Z Chai, Z Wang, H Yan, X Lin, J Zhou IEEE Internet of Things Journal, 2024 | 1 | 2024 |
Recess vaccine for federated learning: Proactive defense against model poisoning attacks H Yan, W Zhang, Q Chen, X Li, W Sun, H Li, X Lin Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
PAGE: Equilibrate Personalization and Generalization in Federated Learning Q Chen, Z Wang, J Hu, H Yan, J Zhou, X Lin arXiv preprint arXiv:2310.08961, 2023 | 1 | 2023 |
匿名网络应用及仿真平台研究综述 郑献春, 李晖, 王瑞, 闫皓楠, 戴睿, 萧明炽 西安电子科技大学学报 48 (1), 22-38, 2021 | 1 | 2021 |
CODER: Protecting Privacy in Image Retrieval with Differential Privacy H Yan, X Li, W Zhang, Q Chen, B Wang, H Li, X Lin IEEE Transactions on Dependable and Secure Computing, 2024 | | 2024 |
Adversarial Example Attacks and Defenses in DNS Data Exfiltration I Savić, H Yan, X Lin, D Gillis International Symposium on Emerging Information Security and Applications …, 2023 | | 2023 |
Protecting Bilateral Privacy in Machine Learning-as-a-Service: A Differential Privacy Based Defense L Wang, H Yan, X Lin, P Xiong International Conference on Artificial Intelligence Security and Privacy …, 2023 | | 2023 |
A Deep Learning-based Data Usability Enhancement Scheme for Differential Privacy H Yan, X Li, G Zheng, H Li, F Li, X Lin 2023 IEEE Smart World Congress (SWC), 1-7, 2023 | | 2023 |
基于分布式爬虫的高性能 Tor 网络内容监控系统 郑献春, 王瑞, 闫皓楠, 赵兴文, 李晖, 李凤华 信息安全学报 8 (1), 144-153, 2023 | | 2023 |
MARS: Automated Protocol Analysis Framework for Internet of Things H Yan, X Li, R Dai, H Li, X Zhao, F Li IEEE Internet of Things Journal 9 (19), 18333-18345, 2022 | | 2022 |
LUNAR: A Practical Anonymous Network Simulation Platform X Zheng, H Yan, R Wang, Z Zhang, H Li Security and Communication Networks 2022 (1), 5832124, 2022 | | 2022 |