Lab Website - Publications

[1] 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 PDF
[2] 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 PDF

[1] 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 PDF
[2] 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 PDF
[3] Building trustworthy machine learning systems in adversarial environments N Wang Virginia Tech PDF

[1] 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 PDF
[2] 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 PDF
[3] 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 Communications Security PDF
[4] 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 PDF
[5] 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 PDF

[1] MANDA: On Adversarial Example Detection for Network Intrusion Detection System N Wang, Y Chen, Y Hu, W Lou, YT Hou IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, 1-10 PDF

[1] 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 PDF

[1] 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 PDF
[2] 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 PDF

[1] 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 PDF
[2] 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 Processing PDF
[3] 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 Mobile Radio Communications PDF
[4] 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 PDF
[5] Optimal Pilot Symbols Ratio in terms of Spectrum and Energy Efficiency in Uplink CoMP Networks Y Zhang, Q Cui, N Wang 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-5 PDF