Qingru Li

According to our database, Qingru Li authored at least 19 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation.

Fangwei Wang, Meiyun Xie, Zhiyuan Tan, Qingru Li, Changguang Wang

IEEE Trans. Emerg. Top. Comput., 2024

2023

A Probability Mapping-Based Privacy Preservation Method for Social Networks.

Qingru Li, Yahong Wang, Fangwei Wang, Zhiyuan Tan, Changguang Wang

Proceedings of the Ubiquitous Security, 2023

A Multivariate Time Series Anomaly Detection Model Based on Spatio-Temporal Dual Features.

Fangwei Wang, Man Yan, Qingru Li, Changguang Wang

Proceedings of the International Conference on Networking and Network Applications, 2023

Efficient Black-Box Adversarial Attacks with Training Surrogate Models Towards Speaker Recognition Systems.

Fangwei Wang, Ruixin Song, Qingru Li, Changguang Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

An Android Malware Detection Method Based on Metapath Aggregated Graph Neural Network.

Qingru Li, Yufei Zhang, Fangwei Wang, Changguang Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022

An Efficient Deep Unsupervised Domain Adaptation for Unknown Malware Detection.

Fangwei Wang, Guofang Chai, Qingru Li, Changguang Wang

Symmetry, 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

Toward machine intelligence that learns to fingerprint polymorphic worms in IoT.

Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li, Kehinde O. Babaagba, Zhiyuan Tan

Int. J. Intell. Syst., 2022

Network Security Situation Prediction Implemented by Attention and BiLSTM.

Dongmei Zhao, Yaxing Wu, Qingru Li

Proceedings of the International Conference on Networking and Network Applications, 2022

A Label Flipping Attack on Machine Learning Model and Its Defense Mechanism.

Qingru Li, Xinru Wang, Fangwei Wang, Changguang Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2022

A Co-evolutionary Algorithm-Based Malware Adversarial Sample Generation Method.

Fangwei Wang, Yuanyuan Lu, Qingru Li, Changguang Wang, Yonglei Bai

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

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 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

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

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

MagNet with Randomization Defense against Adversarial Examples.

Fangwei Wang, Guofang Chai, Qingru Li, Changguang Wang

Proceedings of the International Conference on Networking and Network Applications, 2020

A Novel Intrusion Detection System for Malware Based on Time-Series Meta-learning.

Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

A Feature-Based Detection System of Adversarial Sample Attack.

Fangwei Wang, Yuanyuan Lu, Qingru Li, Changguang Wang

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

2017

An Intrusion Detection System Based on Polynomial Feature Correlation Analysis.

Qingru Li, Zhiyuan Tan, Aruna Jamdagni, Priyadarsi Nanda, Xiangjian He, Wei Han

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017