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2020 – today
- 2024
[j9]Fangwei Wang, Xipeng Shi, Fang Yang, Ruixin Song, Qingru Li, Zhiyuan Tan, Changguang Wang:
MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer. J. Inf. Secur. Appl. 83: 103784 (2024)- [j8]Fangwei Wang
, Meiyun Xie, Zhiyuan Tan, Qingru Li, Changguang Wang:
Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation. IEEE Trans. Emerg. Top. Comput. 12(1): 307-315 (2024) - 2023
- [c12]Fangwei Wang, Ruixin Song, Qingru Li, Changguang Wang:
Efficient Black-Box Adversarial Attacks with Training Surrogate Models Towards Speaker Recognition Systems. ICA3PP (5) 2023: 257-276 - [c11]Qingru Li, Yufei Zhang, Fangwei Wang, Changguang Wang:
An Android Malware Detection Method Based on Metapath Aggregated Graph Neural Network. ICA3PP (3) 2023: 344-357 - [c10]Fangwei Wang, Man Yan, Qingru Li, Changguang Wang:
A Multivariate Time Series Anomaly Detection Model Based on Spatio-Temporal Dual Features. NaNA 2023: 416-421 - [c9]Fangwei Wang, Ruixin Song, Zhiyuan Tan, Qingru Li, Changguang Wang, Yong Yang:
Self-attention is What You Need to Fool a Speaker Recognition System. TrustCom 2023: 929-936 - [c8]Qingru Li, Yahong Wang, Fangwei Wang, Zhiyuan Tan, Changguang Wang:
A Probability Mapping-Based Privacy Preservation Method for Social Networks. UbiSec 2023: 289-303 - 2022
- [j7]Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li, Kehinde O. Babaagba, Zhiyuan Tan:
Toward machine intelligence that learns to fingerprint polymorphic worms in IoT. Int. J. Intell. Syst. 37(10): 7058-7078 (2022) - [j6]Jia Liu, Qingru Li, Chunyan Lin:
Do Listed Companies' Technological Innovations Make Institutional Investors' "Group Holdings" More Favorable?: Based on Network-Clustering. J. Organ. End User Comput. 34(8): 1-27 (2022) - [j5]Fangwei Wang, Guofang Chai, Qingru Li, Changguang Wang:
An Efficient Deep Unsupervised Domain Adaptation for Unknown Malware Detection. Symmetry 14(2): 296 (2022) - [c7]Fangwei Wang, Yuanyuan Lu, Qingru Li, Changguang Wang, Yonglei Bai:
A Co-evolutionary Algorithm-Based Malware Adversarial Sample Generation Method. DSC 2022: 1-8 - [c6]Qingru Li, Xinru Wang, Fangwei Wang, Changguang Wang:
A Label Flipping Attack on Machine Learning Model and Its Defense Mechanism. ICA3PP 2022: 490-506 - [c5]Dongmei Zhao, Yaxing Wu, Qingru Li:
Network Security Situation Prediction Implemented by Attention and BiLSTM. NaNA 2022: 213-219 - 2021
- [j4]Fangwei Wang, Shaojie Yang, Qingru Li, Changguang Wang:
An internet of things malware classification method based on mixture of experts neural network. Trans. Emerg. Telecommun. Technol. 32(5) (2021) - [j3]Changguang Wang, Ziqiu Zhao, Fangwei Wang, Qingru Li:
A Novel Malware Detection and Family Classification Scheme for IoT Based on DEAM and DenseNet. Secur. Commun. Networks 2021: 6658842:1-6658842:16 (2021) - [j2]Fangwei Wang, Yuanyuan Lu, Changguang Wang, Qingru Li:
Binary Black-Box Adversarial Attacks with Evolutionary Learning against IoT Malware Detection. Wirel. Commun. Mob. Comput. 2021: 8736946:1-8736946:9 (2021) - 2020
- [j1]Shixuan Li, Dongmei Zhao, Qingru Li:
A Framework for Predicting Network Security Situation Based on the Improved LSTM. EAI Endorsed Trans. Collab. Comput. 4(13): e5 (2020) - [c4]Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li:
A Novel Intrusion Detection System for Malware Based on Time-Series Meta-learning. ML4CS (1) 2020: 50-64 - [c3]Fangwei Wang, Yuanyuan Lu, Qingru Li, Changguang Wang:
A Feature-Based Detection System of Adversarial Sample Attack. ML4CS (2) 2020: 494-500 - [c2]Fangwei Wang, Guofang Chai, Qingru Li, Changguang Wang:
MagNet with Randomization Defense against Adversarial Examples. NaNA 2020: 316-320
2010 – 2019
- 2017
- [c1]Qingru Li, Zhiyuan Tan, Aruna Jamdagni, Priyadarsi Nanda, Xiangjian He, Wei Han:
An Intrusion Detection System Based on Polynomial Feature Correlation Analysis. TrustCom/BigDataSE/ICESS 2017: 978-983
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last updated on 2024-09-10 01:14 CEST by the dblp team
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