Jiazhu Dai

Orcid: 0000-0002-1883-0171

According to our database1, Jiazhu Dai authored at least 20 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
A semantic backdoor attack against graph convolutional networks.
Neurocomputing, 2024

A Clean-graph Backdoor Attack against Graph Convolutional Networks with Poisoned Label Only.
CoRR, 2024

A backdoor attack against link prediction tasks with graph neural networks.
CoRR, 2024

2023
Towards robust stacked capsule autoencoder with hybrid adversarial training.
Appl. Intell., December, 2023

A semantic backdoor attack against Graph Convolutional Networks.
CoRR, 2023

2022
A Targeted Universal Attack on Graph Convolutional Network by Using Fake Nodes.
Neural Process. Lett., 2022

An Evasion Attack against Stacked Capsule Autoencoder.
Algorithms, 2022

2021
Fast-UAP: An algorithm for expediting universal adversarial perturbation generation using the orientations of perturbation vectors.
Neurocomputing, 2021

Mitigating backdoor attacks in LSTM-based text classification systems by Backdoor Keyword Identification.
Neurocomputing, 2021

2020
A Targeted Universal Attack on Graph Convolutional Network.
CoRR, 2020

An Adversarial Attack against Stacked Capsule Autoencoder.
CoRR, 2020

An Optimized Algorithm for Speeding up Universal Adversarial Perturbation Generation.
Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020

2019
Fast-UAP: Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors.
CoRR, 2019

A backdoor attack against LSTM-based text classification systems.
CoRR, 2019

A Backdoor Attack Against LSTM-Based Text Classification Systems.
IEEE Access, 2019

2018
TwinNet: A Double Sub-Network Framework for Detecting Universal Adversarial Perturbations.
Future Internet, 2018

A Privacy Preserving Framework for Worker's Location in Spatial Crowdsourcing Based on Local Differential Privacy.
Future Internet, 2018

2016
路网环境下敏感位置匿名区域的生成方法 (Method of Anonymous Area Generation for Sensitive Location Protection under Road Networks).
计算机科学, 2016

An Optimized Privacy Inference Attack Based on Smartwatch Motion Sensors.
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

2005
D_DIPS: An Intrusion Prevention System for Database Security.
Proceedings of the Information and Communications Security, 7th International Conference, 2005


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