An Intrusion Detection System Based on Polynomial Feature Correlation Analysis. - Qingru Li; Zhiyuan Tan 001; Aruna Jamdagni; Priyadarsi Nanda; Xiangjian He; Wei Han (TrustCom/BigDataSE/ICESS, 2017)

A Feature-Based Detection System of Adversarial Sample Attack. - Fangwei Wang; Yuanyuan Lu; Qingru Li; Changguang Wang (ML4CS (2), 2020)

A Novel Intrusion Detection System for Malware Based on Time-Series Meta-learning. - Fangwei Wang; Shaojie Yang; Changguang Wang; Qingru Li (ML4CS (1), 2020)

MagNet with Randomization Defense against Adversarial Examples. - Fangwei Wang; Guofang Chai; Qingru Li; Changguang Wang (NaNA, 2020)

A Framework for Predicting Network Security Situation Based on the Improved LSTM. - Shixuan Li; Dongmei Zhao; Qingru Li (EAI Endorsed Trans. Collab. Comput., 2020)

An internet of things malware classification method based on mixture of experts neural network. - Fangwei Wang; Shaojie Yang; Qingru Li; Changguang Wang (Trans. Emerg. Telecommun. Technol., 2021)

A Novel Malware Detection and Family Classification Scheme for IoT Based on DEAM and DenseNet. - Changguang Wang; Ziqiu Zhao; Fangwei Wang; Qingru Li (Secur. Commun. Networks, 2021)

Binary Black-Box Adversarial Attacks with Evolutionary Learning against IoT Malware Detection. - Fangwei Wang; Yuanyuan Lu; Changguang Wang; Qingru Li (Wirel. Commun. Mob. Comput., 2021)

A Co-evolutionary Algorithm-Based Malware Adversarial Sample Generation Method. - Fangwei Wang; Yuanyuan Lu; Qingru Li; Changguang Wang; Yonglei Bai (DSC, 2022)

A Label Flipping Attack on Machine Learning Model and Its Defense Mechanism. - Qingru Li; Xinru Wang; Fangwei Wang; Changguang Wang (ICA3PP, 2022)

Network Security Situation Prediction Implemented by Attention and BiLSTM. - Dongmei Zhao; Yaxing Wu; Qingru Li (NaNA, 2022)

Toward machine intelligence that learns to fingerprint polymorphic worms in IoT. - Fangwei Wang; Shaojie Yang; Changguang Wang; Qingru Li; Kehinde O. Babaagba; Zhiyuan Tan 001 (Int. J. Intell. Syst., 2022)

Do Listed Companies' Technological Innovations Make Institutional Investors' "Group Holdings" More Favorable?: Based on Network-Clustering. - Jia Liu; Qingru Li; Chunyan Lin (J. Organ. End User Comput., 2022)

An Efficient Deep Unsupervised Domain Adaptation for Unknown Malware Detection. - Fangwei Wang; Guofang Chai; Qingru Li; Changguang Wang (Symmetry, 2022)

An Android Malware Detection Method Based on Metapath Aggregated Graph Neural Network. - Qingru Li; Yufei Zhang 009; Fangwei Wang; Changguang Wang (ICA3PP (3), 2023)

Efficient Black-Box Adversarial Attacks with Training Surrogate Models Towards Speaker Recognition Systems. - Fangwei Wang; Ruixin Song; Qingru Li; Changguang Wang (ICA3PP (5), 2023)

A Multivariate Time Series Anomaly Detection Model Based on Spatio-Temporal Dual Features. - Fangwei Wang; Man Yan; Qingru Li; Changguang Wang (NaNA, 2023)

Self-attention is What You Need to Fool a Speaker Recognition System. - Fangwei Wang; Ruixin Song; Zhiyuan Tan 001; Qingru Li; Changguang Wang; Yong Yang (TrustCom, 2023)

A Probability Mapping-Based Privacy Preservation Method for Social Networks. - Qingru Li; Yahong Wang; Fangwei Wang; Zhiyuan Tan 001; Changguang Wang (UbiSec, 2023)

Feature Augmented Meta-Learning on Domain Generalization for Evolving Malware Classification. - Fangwei Wang; Yinhe Chen; Ruixin Song; Qingru Li; Changguang Wang (ICA3PP (2), 2024)

High-Capacity Image Hiding via Compressible Invertible Neural Network. - Changguang Wang; Haoyi Shi; Qingru Li; Dongmei Zhao; Fangwei Wang (ICA3PP (2), 2024)

SteDM: Efficient Image Steganography with Diffusion Models. - Changguang Wang; Haoyi Shi; Qingru Li; Dongmei Zhao; Fangwei Wang (ICA3PP (6), 2024)

MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer. - Fangwei Wang; Xipeng Shi; Fang Yang; Ruixin Song; Qingru Li; Zhiyuan Tan 001; Changguang Wang (J. Inf. Secur. Appl., 2024)

Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation. - Fangwei Wang; Meiyun Xie; Zhiyuan Tan 001; Qingru Li; Changguang Wang (IEEE Trans. Emerg. Top. Comput., 2024)

Self-supervised contrastive representation learning for classifying Internet of Things malware. - Fangwei Wang; Yinhe Chen; Hongfeng Gao; Qingru Li; Changguang Wang (Eng. Appl. Artif. Intell., 2025)