Qingru Li
Orcid: 0000-0003-2532-045X
According to our database1,
Qingru Li
authored at least 21 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2017
2018
2019
2020
2021
2022
2023
2024
0
1
2
3
4
5
6
7
2
3
3
1
5
3
3
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation.
IEEE Trans. Emerg. Top. Comput., 2024
MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer.
J. Inf. Secur. Appl., 2024
2023
Proceedings of the Ubiquitous Security, 2023
Proceedings of the 22nd IEEE International Conference on Trust, 2023
A Multivariate Time Series Anomaly Detection Model Based on Spatio-Temporal Dual Features.
Proceedings of the International Conference on Networking and Network Applications, 2023
Efficient Black-Box Adversarial Attacks with Training Surrogate Models Towards Speaker Recognition Systems.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023
An Android Malware Detection Method Based on Metapath Aggregated Graph Neural Network.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023
2022
Symmetry, 2022
Do Listed Companies' Technological Innovations Make Institutional Investors' "Group Holdings" More Favorable?: Based on Network-Clustering.
J. Organ. End User Comput., 2022
Int. J. Intell. Syst., 2022
Proceedings of the International Conference on Networking and Network Applications, 2022
Proceedings of the Algorithms and Architectures for Parallel Processing, 2022
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022
2021
Binary Black-Box Adversarial Attacks with Evolutionary Learning against IoT Malware Detection.
Wirel. Commun. Mob. Comput., 2021
A Novel Malware Detection and Family Classification Scheme for IoT Based on DEAM and DenseNet.
Secur. Commun. Networks, 2021
An internet of things malware classification method based on mixture of experts neural network.
Trans. Emerg. Telecommun. Technol., 2021
2020
EAI Endorsed Trans. Collab. Comput., 2020
Proceedings of the International Conference on Networking and Network Applications, 2020
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020
Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020
2017
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017