Spatial Point Process Modeling of Vehicles in Large and Small Cities. - Qimei Cui; Ning Wang 022; Martin Haenggi (GLOBECOM, 2017)

Energy efficiency maximization for CoMP joint transmission with non-ideal power amplifiers. - Yuhao Zhang 002; Qimei Cui; Ning Wang 022 (PIMRC, 2017)

Optimal Pilot Symbols Ratio in Terms of Spectrum and Energy Efficiency in Uplink CoMP Networks. - Yuhao Zhang 002; Qimei Cui; Ning Wang 022 (VTC Spring, 2017)

Energy-efficient user access control and resource allocation in HCNs with non-ideal circuitry. - Yuhao Zhang 002; Qimei Cui; Ning Wang 022 (WCSP, 2017)

Energy-efficient resource allocation for hybrid bursty services in multi-relay OFDM networks. - Yuhao Zhang 002; Qimei Cui; Ning Wang 022; Yanzhao Hou; Weiliang Xie (Sci. China Inf. Sci., 2017)

Optimization Deployment of Roadside Units with Mobile Vehicle Data Analytics. - Xuemei Cao; Qimei Cui; Sihai Zhang; Xueying Jiang; Ning Wang 022 (APCC, 2018)

Vehicle Distributions in Large and Small Cities: Spatial Models and Applications. - Qimei Cui; Ning Wang 022; Martin Haenggi (IEEE Trans. Veh. Technol., 2018)

PriRoster: Privacy-preserving Radio Context Attestation in Cognitive Radio Networks. - Ruide Zhang; Ning Wang 022; Ning Zhang 017; Zheng Yan 002; Wenjing Lou; Y. Thomas Hou 001 (DySPAN, 2019)

MANDA: On Adversarial Example Detection for Network Intrusion Detection System. - Ning Wang 022; Yimin Chen 004; Yang Hu; Wenjing Lou; Y. Thomas Hou 001 (INFOCOM, 2021)

Squeezing More Utility via Adaptive Clipping on Differentially Private Gradients in Federated Meta-Learning. - Ning Wang 022; Yang Xiao 010; Yimin Chen 004; Ning Zhang 017; Wenjing Lou; Y. Thomas Hou 001 (ACSAC, 2022)

FLARE: Defending Federated Learning against Model Poisoning Attacks via Latent Space Representations. - Ning Wang 022; Yang Xiao 010; Yimin Chen 004; Yang Hu; Wenjing Lou; Y. Thomas Hou 001 (AsiaCCS, 2022)

Transferability of Adversarial Examples in Machine Learning-based Malware Detection. - Yang Hu; Ning Wang 022; Yimin Chen 004; Wenjing Lou; Y. Thomas Hou 001 (CNS, 2022)

FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning. - Ning Wang 022; Yimin Chen 004; Yang Hu; Wenjing Lou; Y. Thomas Hou 001 (INFOCOM, 2022)

MINDFL: Mitigating the Impact of Imbalanced and Noisy-labeled Data in Federated Learning with Quality and Fairness-Aware Client Selection. - Chaoyu Zhang; Ning Wang 022; Shanghao Shi; Changlai Du; Wenjing Lou; Y. Thomas Hou 001 (MILCOM, 2023)

MANDA: On Adversarial Example Detection for Network Intrusion Detection System. - Ning Wang 022; Yimin Chen 004; Yang Xiao 010; Yang Hu; Wenjing Lou; Y. Thomas Hou 001 (IEEE Trans. Dependable Secur. Comput., 2023)

Building trustworthy machine learning systems in adversarial environments. - Ning Wang 022 (2023)

Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning. - Chaoyu Zhang; Shanghao Shi; Ning Wang 022; Xiangxiang Xu 001; Shaoyu Li; Lizhong Zheng; Randy C. Marchany; Mark Gardner; Y. Thomas Hou 001; Wenjing Lou (MobiHoc, 2024)

NoiSec: Harnessing Noise for Security against Adversarial and Backdoor Attacks. - Md Hasan Shahriar; Ning Wang 022; Y. Thomas Hou 001; Wenjing Lou (CoRR, 2024)

BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning. - Ning Wang 022; Shanghao Shi; Yang Xiao 010; Yimin Chen 004; Y. Thomas Hou 001; Wenjing Lou (CoRR, 2024)

Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction. - Shanghao Shi; Ning Wang 022; Yang Xiao 010; Chaoyu Zhang; Yi Shi 001; Y. Thomas Hou 001; Wenjing Lou (NDSS, 2025)

FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning. - Ning Wang 022; Shanghao Shi; Yimin Chen 004; Wenjing Lou; Y. Thomas Hou 001 (IEEE Trans. Dependable Secur. Comput., 2025)

FLARE: Defending Federated Learning Against Model Poisoning Attacks via Latent Space Representations. - Ning Wang 022; Chaoyu Zhang; Yang Xiao 010; Yimin Chen 004; Wenjing Lou; Y. Thomas Hou 001 (IEEE Trans. Dependable Secur. Comput., 2025)