D_DIPS: An Intrusion Prevention System for Database Security. - Jiazhu Dai; Huaikou Miao (ICICS, 2005)

An Optimized Privacy Inference Attack Based on Smartwatch Motion Sensors. - Jiazhu Dai; Yitong Duan; Fenglei Yang (iThings/GreenCom/CPSCom/SmartData, 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)

A Privacy Preserving Framework for Worker's Location in Spatial Crowdsourcing Based on Local Differential Privacy. - Jiazhu Dai; Keke Qiao (Future Internet, 2018)

TwinNet: A Double Sub-Network Framework for Detecting Universal Adversarial Perturbations. - Yibin Ruan; Jiazhu Dai (Future Internet, 2018)

A Backdoor Attack Against LSTM-Based Text Classification Systems. - Jiazhu Dai; Chuanshuai Chen; Yufeng Li 002 (IEEE Access, 2019)

A backdoor attack against LSTM-based text classification systems. - Jiazhu Dai; Chuanshuai Chen; Yike Guo (CoRR, 2019)

Fast-UAP: Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors. - Jiazhu Dai; Le Shu (CoRR, 2019)

An Optimized Algorithm for Speeding up Universal Adversarial Perturbation Generation. - Le Shu; Jiazhu Dai (ICCPR, 2020)

An Adversarial Attack against Stacked Capsule Autoencoder. - Jiazhu Dai; Siwei Xiong (CoRR, 2020)

A Targeted Universal Attack on Graph Convolutional Network. - Jiazhu Dai; Weifeng Zhu; Xiangfeng Luo (CoRR, 2020)

Mitigating backdoor attacks in LSTM-based text classification systems by Backdoor Keyword Identification. - Chuanshuai Chen; Jiazhu Dai (Neurocomputing, 2021)

Fast-UAP: An algorithm for expediting universal adversarial perturbation generation using the orientations of perturbation vectors. - Jiazhu Dai; Le Shu (Neurocomputing, 2021)

An Evasion Attack against Stacked Capsule Autoencoder. - Jiazhu Dai; Siwei Xiong (Algorithms, 2022)

A Targeted Universal Attack on Graph Convolutional Network by Using Fake Nodes. - Jiazhu Dai; Weifeng Zhu; Xiangfeng Luo (Neural Process. Lett., 2022)

A semantic backdoor attack against Graph Convolutional Networks. - Jiazhu Dai; Zhipeng Xiong (CoRR, 2023)

Towards robust stacked capsule autoencoder with hybrid adversarial training. - Jiazhu Dai; Siwei Xiong (Appl. Intell., 2023)

A backdoor attack against link prediction tasks with graph neural networks. - Jiazhu Dai; Haoyu Sun (CoRR, 2024)

A Clean-graph Backdoor Attack against Graph Convolutional Networks with Poisoned Label Only. - Jiazhu Dai; Haoyu Sun (CoRR, 2024)

A semantic backdoor attack against graph convolutional networks. - Jiazhu Dai; Zhipeng Xiong; Chenhong Cao (Neurocomputing, 2024)

A Semantic and Clean-label Backdoor Attack against Graph Convolutional Networks. - Jiazhu Dai; Haoyu Sun (CoRR, 2025)

Graph-Level Label-Only Membership Inference Attack against Graph Neural Networks. - Jiazhu Dai; Yubing Lu (CoRR, 2025)