| Manda: On adversarial example detection for network intrusion detection system N Wang, Y Chen, Y Xiao, Y Hu, W Lou, YT Hou IEEE Transactions on Dependable and Secure Computing 20 (2), 1139-1153, 2022 | 85 | 2022 |
| Flare: defending federated learning against model poisoning attacks via latent space representations N Wang, Y Xiao, Y Chen, Y Hu, W Lou, YT Hou Proceedings of the 2022 ACM on Asia Conference on Computer and …, 2022 | 48 | 2022 |
| Vehicle distributions in large and small cities: Spatial models and applications Q Cui, N Wang, M Haenggi IEEE Transactions on Vehicular Technology 67 (11), 10176-10189, 2018 | 27 | 2018 |
| FeCo: Boosting intrusion detection capability in IoT networks via contrastive learning N Wang, Y Chen, Y Hu, W Lou, YT Hou IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 1409-1418, 2022 | 24 | 2022 |
| Spatial point process modeling of vehicles in large and small cities Q Cui, N Wang, M Haenggi GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-7, 2017 | 10 | 2017 |
| Optimization deployment of roadside units with mobile vehicle data analytics X Cao, Q Cui, S Zhang, X Jiang, N Wang 2018 24th Asia-Pacific Conference on Communications (APCC), 358-363, 2018 | 8 | 2018 |
| Transferability of adversarial examples in machine learning-based malware detection Y Hu, N Wang, Y Chen, W Lou, YT Hou 2022 IEEE Conference on Communications and Network Security (CNS), 28-36, 2022 | 7 | 2022 |
| PriRoster: Privacy-preserving radio context attestation in cognitive radio networks R Zhang, N Wang, N Zhang, Z Yan, W Lou, YT Hou 2019 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2019 | 6 | 2019 |
| Scale-mia: A scalable model inversion attack against secure federated learning via latent space reconstruction S Shi, N Wang, Y Xiao, C Zhang, Y Shi, YT Hou, W Lou arXiv preprint arXiv:2311.05808, 2023 | 5 | 2023 |
| Energy efficiency maximization for CoMP joint transmission with non-ideal power amplifiers Y Zhang, Q Cui, N Wang 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and …, 2017 | 5 | 2017 |
| Mindfl: Mitigating the impact of imbalanced and noisy-labeled data in federated learning with quality and fairness-aware client selection C Zhang, N Wang, S Shi, C Du, W Lou, YT Hou MILCOM 2023-2023 IEEE Military Communications Conference (MILCOM), 331-338, 2023 | 4 | 2023 |
| Energy-efficient resource allocation for hybrid bursty services in multi-relay OFDM networks Y Zhang, Q Cui, N Wang, Y Hou, W Xie Science China Information Sciences 60, 1-18, 2017 | 3 | 2017 |
| Squeezing more utility via adaptive clipping on differentially private gradients in federated meta-learning N Wang, Y Xiao, Y Chen, N Zhang, W Lou, YT Hou Proceedings of the 38th Annual Computer Security Applications Conference …, 2022 | 2 | 2022 |
| Energy-efficient user access control and resource allocation in HCNs with non-ideal circuitry Y Zhang, Q Cui, N Wang 2017 9th International Conference on Wireless Communications and Signal …, 2017 | 1 | 2017 |
| Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning C Zhang, S Shi, N Wang, X Xu, S Li, L Zheng, R Marchany, M Gardner, ... Proceedings of the Twenty-fifth International Symposium on Theory …, 2024 | | 2024 |
| Adversarial Attacks on Federated Learning Revisited: a Client-Selection Perspective X Lyu, S Li, N Wang, T Li, D Chen, Y Chen 2024 IEEE Conference on Communications and Network Security (CNS), 1-9, 2024 | | 2024 |
| BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning N Wang, S Shi, Y Xiao, Y Chen, YT Hou, W Lou arXiv preprint arXiv:2407.09658, 2024 | | 2024 |
| A Target Tracking Method Based on Box-particle Filter Under Measurement Uncertainty N WANG, R DUAN, X ZHOU 电子与信息学报 46, 1-8, 2024 | | 2024 |
| NoiSec: Harnessing Noise for Security against Adversarial and Backdoor Attacks M Hasan Shahriar, N Wang, YT Hou, W Lou arXiv e-prints, arXiv: 2406.13073, 2024 | | 2024 |
| Building trustworthy machine learning systems in adversarial environments N Wang Virginia Tech, 2023 | | 2023 |
