Jiale Zhang

According to our database, Jiale Zhang authored at least 58 papers between 2018 and 2024.

Collaborative distances:

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

2024

Application programming interface recommendation for smart contract using deep learning from augmented code representation.

Jie Cai, Qian Cai, Bin Li, Jiale Zhang, Xiaobing Sun

J. Softw. Evol. Process., August, 2024

Blockfd: blockchain-based federated distillation against poisoning attacks.

Ye Li, Jiale Zhang, Junwu Zhu, Wenjuan Li

Neural Comput. Appl., July, 2024

Ponzi Scheme Detection in Smart Contract via Transaction Semantic Representation Learning.

Jie Cai, Bin Li, Jiale Zhang, Xiaobing Sun

IEEE Trans. Reliab., June, 2024

EXVul: Toward Effective and Explainable Vulnerability Detection for IoT Devices.

Sicong Cao, Xiaobing Sun, Wei Liu, Di Wu, Jiale Zhang, Yan Li, Tom H. Luan, Longxiang Gao

IEEE Internet Things J., June, 2024

Fine-grained smart contract vulnerability detection by heterogeneous code feature learning and automated dataset construction.

Jie Cai, Bin Li, Tao Zhang, Jiale Zhang, Xiaobing Sun

J. Syst. Softw., March, 2024

FLPurifier: Backdoor Defense in Federated Learning via Decoupled Contrastive Training.

Jiale Zhang, Chengcheng Zhu, Xiaobing Sun, Chunpeng Ge, Bing Chen, Willy Susilo, Shui Yu

IEEE Trans. Inf. Forensics Secur., 2024

BadCleaner: Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation.

Jiale Zhang, Chengcheng Zhu, Chunpeng Ge, Chuan Ma, Yanchao Zhao, Xiaobing Sun, Bing Chen

IEEE Trans. Dependable Secur. Comput., 2024

DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks.

Hao Sui, Bing Chen, Jiale Zhang, Chengcheng Zhu, Di Wu, Qinghua Lu, Guodong Long

CoRR, 2024

Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models.

Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long

CoRR, 2024

"No Matter What You Do!": Mitigating Backdoor Attacks in Graph Neural Networks.

Jiale Zhang, Chengcheng Zhu, Bosen Rao, Hao Sui, Xiaobing Sun, Bing Chen, Chunyi Zhou, Shouling Ji

CoRR, 2024

Infighting in the Dark: Multi-Labels Backdoor Attack in Federated Learning.

Ye Li, Yanchao Zhao, Chengcheng Zhu, Jiale Zhang

CoRR, 2024

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research.

Sicong Cao, Xiaobing Sun, Ratnadira Widyasari, David Lo, Xiaoxue Wu, Lili Bo, Jiale Zhang, Bin Li, Wei Liu, Di Wu, Yixin Chen

CoRR, 2024

BADFSS: Backdoor Attacks on Federated Self-Supervised Learning.

Jiale Zhang, Chengcheng Zhu, Di Wu, Xiaobing Sun, Jianming Yong, Guodong Long

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Fairness-Aware Federated Learning Framework on Heterogeneous Data Distributions.

Ye Li, Jiale Zhang, Yanchao Zhao, Bing Chen, Shui Yu

Proceedings of the IEEE International Conference on Communications, 2024

2023

ADFL: Defending backdoor attacks in federated learning via adversarial distillation.

Chengcheng Zhu, Jiale Zhang, Xiaobing Sun, Bing Chen, Weizhi Meng

Comput. Secur., September, 2023

An intrusion detection system based on stacked ensemble learning for IoT network.

Yongzhong Cao, Zhihui Wang, Hongwei Ding, Jiale Zhang, Bin Li

Comput. Electr. Eng., September, 2023

Multi-level membership inference attacks in federated Learning based on active GAN.

Hao Sui, Xiaobing Sun, Jiale Zhang, Bing Chen, Wenjuan Li

Neural Comput. Appl., August, 2023

LAFED: A lightweight authentication mechanism for blockchain-enabled federated learning system.

Shan Ji, Jiale Zhang, Yongjing Zhang, Zhaoyang Han, Chuan Ma

Future Gener. Comput. Syst., August, 2023

VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems.

Jiale Zhang, Yue Liu, Di Wu, Shuai Lou, Bing Chen, Shui Yu

Digit. Commun. Networks, August, 2023

<i>ASSBert</i>: Active and semi-supervised bert for smart contract vulnerability detection.

Xiaobing Sun, Liangqiong Tu, Jiale Zhang, Jie Cai, Bin Li, Yu Wang

J. Inf. Secur. Appl., March, 2023

Combine sliced joint graph with graph neural networks for smart contract vulnerability detection.

Jie Cai, Bin Li, Jiale Zhang, Xiaobing Sun, Bing Chen

J. Syst. Softw., 2023

Extended Abstract of Combine Sliced Joint Graph with Graph Neural Networks for Smart Contract Vulnerability Detection.

Jie Cai, Bin Li, Jiale Zhang, Xiaobing Sun, Bing Chen

Proceedings of the IEEE International Conference on Software Analysis, 2023

Tackling Non-IID for Federated Learning with Components Alignment.

Baolu Xue, Jiale Zhang, Bing Chen, Wenjuan Li

Proceedings of the Machine Learning for Cyber Security - 5th International Conference, 2023

A Client-Side Watermarking with Private-Class in Federated Learning.

Weitong Chen, Wei Zhang, Jiale Zhang, Xiaobing Sun, Xiang Cheng, Chengcheng Zhu

Proceedings of the Machine Learning for Cyber Security - 5th International Conference, 2023

Label-Only Membership Inference Attack Against Federated Distillation.

Xi Wang, Yanchao Zhao, Jiale Zhang, Bing Chen

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022

RobustFL: Robust Federated Learning Against Poisoning Attacks in Industrial IoT Systems.

Jiale Zhang, Chunpeng Ge, Feng Hu, Bing Chen

IEEE Trans. Ind. Informatics, 2022

SPVF: security property assisted vulnerability fixing via attention-based models.

Zhou Zhou, Lili Bo, Xiaoxue Wu, Xiaobing Sun, Tao Zhang, Bin Li, Jiale Zhang, Sicong Cao

Empir. Softw. Eng., 2022

Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks.

Ying Zhao, Junjun Chen, Jiale Zhang, Di Wu, Michael Blumenstein, Shui Yu

Concurr. Comput. Pract. Exp., 2022

Cyber situation perception for Internet of Things systems based on zero-day attack activities recognition within advanced persistent threat.

Xiang Cheng, Jiale Zhang, Yaofeng Tu, Bing Chen

Concurr. Comput. Pract. Exp., 2022

A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning.

Di Wu, Nai Wang, Jiale Zhang, Yuan Zhang, Yong Xiang, Longxiang Gao

Proceedings of the International Joint Conference on Neural Networks, 2022

HBMD-FL: Heterogeneous Federated Learning Algorithm Based on Blockchain and Model Distillation.

Ye Li, Jiale Zhang, Junwu Zhu, Wenjuan Li

Proceedings of the Emerging Information Security and Applications, 2022

Edge-based Protection Against Malicious Poisoning for Distributed Federated Learning.

Qi Chen, Bing Chen, Feng Hu, Jiale Zhang

Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

MIA-Leak: Exploring Membership Inference Attacks in Federated Learning Systems.

Chengcheng Zhu, Jiale Zhang, Xiang Cheng, Weitong Chen, Xiaobing Sun

Proceedings of the Blockchain Technology and Emerging Technologies, 2022

FD-Leaks: Membership Inference Attacks Against Federated Distillation Learning.

Zilu Yang, Yanchao Zhao, Jiale Zhang

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Vulnerability Detection for Smart Contract via Backward Bayesian Active Learning.

Jiale Zhang, Liangqiong Tu, Jie Cai, Xiaobing Sun, Bin Li, Weitong Chen, Yu Wang

Proceedings of the Applied Cryptography and Network Security Workshops, 2022

2021

Proof of Engagement: A Flexible Blockchain Consensus Mechanism.

Yuntao Xu, Xingyu Yang, Jiale Zhang, Junwu Zhu, Maosheng Sun, Bing Chen

Wirel. Commun. Mob. Comput., 2021

Predicting the APT for Cyber Situation Comprehension in 5G-Enabled IoT Scenarios Based on Differentially Private Federated Learning.

Xiang Cheng, Qian Luo, Ye Pan, Zitong Li, Jiale Zhang, Bing Chen

Secur. Commun. Networks, 2021

PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems.

Jiale Zhang, Bing Chen, Xiang Cheng, Huynh Thi Thanh Binh, Shui Yu

IEEE Internet Things J., 2021

OAC-HAS: outsourced access control with hidden access structures in fog-enhanced IoT systems.

Jiale Zhang, Zhen Cheng, Xiang Cheng, Bing Chen

Connect. Sci., 2021

Defending against Membership Inference Attacks in Federated learning via Adversarial Example.

Yuanyuan Xie, Bing Chen, Jiale Zhang, Di Wu

Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

2020

FedMEC: Improving Efficiency of Differentially Private Federated Learning via Mobile Edge Computing.

Jiale Zhang, Yanchao Zhao, Junyu Wang, Bing Chen

Mob. Networks Appl., 2020

LVPDA: A Lightweight and Verifiable Privacy-Preserving Data Aggregation Scheme for Edge-Enabled IoT.

Jiale Zhang, Yanchao Zhao, Jie Wu, Bing Chen

IEEE Internet Things J., 2020

Detecting Advanced Persistent Threat in Edge Computing via Federated Learning.

Zitong Li, Jiale Chen, Jiale Zhang, Xiang Cheng, Bing Chen

Proceedings of the Security and Privacy in Digital Economy, 2020

Predicting Advanced Persistent Threats for IoT Systems Based on Federated Learning.

Zitong Li, Xiang Cheng, Jiale Zhang, Bing Chen

Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2020

Time Efficient Federated Learning with Semi-asynchronous Communication.

Jiangshan Hao, Yanchao Zhao, Jiale Zhang

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Beyond Model-Level Membership Privacy Leakage: an Adversarial Approach in Federated Learning.

Jiale Chen, Jiale Zhang, Yanchao Zhao, Hao Han, Kun Zhu, Bing Chen

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

GAN Enhanced Membership Inference: A Passive Local Attack in Federated Learning.

Jingwen Zhang, Jiale Zhang, Junjun Chen, Shui Yu

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Dynamic Sample Selection for Federated Learning with Heterogeneous Data in Fog Computing.

Lingshuang Cai, Di Lin, Jiale Zhang, Shui Yu

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Defending Poisoning Attacks in Federated Learning via Adversarial Training Method.

Jiale Zhang, Di Wu, Chengyong Liu, Bing Chen

Proceedings of the Frontiers in Cyber Security - Third International Conference, 2020

2019

Cyber Situation Comprehension for IoT Systems based on APT Alerts and Logs Correlation.

Xiang Cheng, Jiale Zhang, Bing Chen

Sensors, 2019

Poisoning Attack in Federated Learning using Generative Adversarial Nets.

Jiale Zhang, Junjun Chen, Di Wu, Bing Chen, Shui Yu

Proceedings of the 18th IEEE International Conference On Trust, 2019

Correlate the Advanced Persistent Threat Alerts and Logs for Cyber Situation Comprehension.

Xiang Cheng, Jiale Zhang, Bing Chen

Proceedings of the Security and Privacy in Social Networks and Big Data, 2019

An Efficient Federated Learning Scheme with Differential Privacy in Mobile Edge Computing.

Jiale Zhang, Junyu Wang, Yanchao Zhao, Bing Chen

Proceedings of the Machine Learning and Intelligent Communications, 2019

PDGAN: A Novel Poisoning Defense Method in Federated Learning Using Generative Adversarial Network.

Ying Zhao, Junjun Chen, Jiale Zhang, Di Wu, Jian Teng, Shui Yu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

A Privacy-Preserving Access Control Scheme with Verifiable and Outsourcing Capabilities in Fog-Cloud Computing.

Zhen Cheng, Jiale Zhang, Hongyan Qian, Mingrong Xiang, Di Wu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

PEFL: A Privacy-Enhanced Federated Learning Scheme for Big Data Analytics.

Jiale Zhang, Bing Chen, Shui Yu, Hai Deng

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues.

Jiale Zhang, Bing Chen, Yanchao Zhao, Xiang Cheng, Feng Hu

IEEE Access, 2018

LPDA-EC: A Lightweight Privacy-Preserving Data Aggregation Scheme for Edge Computing.

Jiale Zhang, Yanchao Zhao, Jie Wu, Bing Chen

Proceedings of the 15th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2018