Jiazhu Dai

According to our database, Jiazhu Dai authored at least 24 papers between 2005 and 2026.

Collaborative distances:

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

2026

RefSR-Adv: Adversarial Attack on Reference-based Image Super-Resolution Models.

Jiazhu Dai, Huihui Jiang

CoRR, January, 2026

BadGraph: A Backdoor Attack Against Latent Diffusion Model for Text-Guided Graph Generation.

Liang Ye, Shengqin Chen, Jiazhu Dai

IEEE Access, 2026

2025

Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks.

Jiazhu Dai, Yubing Lu

CoRR, March, 2025

A Semantic and Clean-label Backdoor Attack against Graph Convolutional Networks.

Jiazhu Dai, Haoyu Sun

CoRR, March, 2025

2024

A semantic backdoor attack against graph convolutional networks.

Jiazhu Dai, Zhipeng Xiong, Chenhong Cao

Neurocomputing, 2024

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

Jiazhu Dai, Haoyu Sun

CoRR, 2024

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

Jiazhu Dai, Haoyu Sun

CoRR, 2024

2023

Towards robust stacked capsule autoencoder with hybrid adversarial training.

Jiazhu Dai, Siwei Xiong

Appl. Intell., December, 2023

A semantic backdoor attack against Graph Convolutional Networks.

Jiazhu Dai, Zhipeng Xiong

CoRR, 2023

2022

A Targeted Universal Attack on Graph Convolutional Network by Using Fake Nodes.

Jiazhu Dai, Weifeng Zhu, Xiangfeng Luo

Neural Process. Lett., 2022

An Evasion Attack against Stacked Capsule Autoencoder.

Jiazhu Dai, Siwei Xiong

Algorithms, 2022

2021

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

Jiazhu Dai, Le Shu

Neurocomputing, 2021

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

Chuanshuai Chen, Jiazhu Dai

Neurocomputing, 2021

2020

A Targeted Universal Attack on Graph Convolutional Network.

Jiazhu Dai, Weifeng Zhu, Xiangfeng Luo

CoRR, 2020

An Adversarial Attack against Stacked Capsule Autoencoder.

Jiazhu Dai, Siwei Xiong

CoRR, 2020

An Optimized Algorithm for Speeding up Universal Adversarial Perturbation Generation.

Le Shu, Jiazhu Dai

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.

Jiazhu Dai, Le Shu

CoRR, 2019

A backdoor attack against LSTM-based text classification systems.

Jiazhu Dai, Chuanshuai Chen, Yike Guo

CoRR, 2019

A Backdoor Attack Against LSTM-Based Text Classification Systems.

Jiazhu Dai, Chuanshuai Chen, Yufeng Li

IEEE Access, 2019

2018

TwinNet: A Double Sub-Network Framework for Detecting Universal Adversarial Perturbations.

Yibin Ruan, Jiazhu Dai

Future Internet, 2018

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

Jiazhu Dai, Keke Qiao

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).

Jiazhu Dai, Liang Hua

计算机科学, 2016

An Optimized Privacy Inference Attack Based on Smartwatch Motion Sensors.

Jiazhu Dai, Yitong Duan, Fenglei Yang

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.

Jiazhu Dai, Huaikou Miao

Proceedings of the Information and Communications Security, 7th International Conference, 2005