LPDA-EC: A Lightweight Privacy-Preserving Data Aggregation Scheme for Edge Computing. - Jiale Zhang 001; Yanchao Zhao; Jie Wu 001; Bing Chen 002 (MASS, 2018)

Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues. - Jiale Zhang 001; Bing Chen 002; Yanchao Zhao; Xiang Cheng 004; Feng Hu 003 (IEEE Access, 2018)

PEFL: A Privacy-Enhanced Federated Learning Scheme for Big Data Analytics. - Jiale Zhang 001; Bing Chen 002; Shui Yu 001; Hai Deng (GLOBECOM, 2019)

A Privacy-Preserving Access Control Scheme with Verifiable and Outsourcing Capabilities in Fog-Cloud Computing. - Zhen Cheng; Jiale Zhang 001; Hongyan Qian; Mingrong Xiang; Di Wu 050 (ICA3PP (1), 2019)

PDGAN: A Novel Poisoning Defense Method in Federated Learning Using Generative Adversarial Network. - Ying Zhao 011; Junjun Chen; Jiale Zhang 001; Di Wu 050; Jian Teng; Shui Yu 001 (ICA3PP (1), 2019)

An Efficient Federated Learning Scheme with Differential Privacy in Mobile Edge Computing. - Jiale Zhang 001; Junyu Wang; Yanchao Zhao; Bing Chen 002 (MLICOM, 2019)

Correlate the Advanced Persistent Threat Alerts and Logs for Cyber Situation Comprehension. - Xiang Cheng 004; Jiale Zhang 001; Bing Chen 002 (SocialSec, 2019)

Poisoning Attack in Federated Learning using Generative Adversarial Nets. - Jiale Zhang 001; Junjun Chen; Di Wu 050; Bing Chen 002; Shui Yu 001 (TrustCom/BigDataSE, 2019)

Cyber Situation Comprehension for IoT Systems based on APT Alerts and Logs Correlation. - Xiang Cheng 004; Jiale Zhang 001; Bing Chen 002 (Sensors, 2019)

Defending Poisoning Attacks in Federated Learning via Adversarial Training Method. - Jiale Zhang 001; Di Wu 050; Chengyong Liu; Bing Chen 002 (FCS, 2020)

Dynamic Sample Selection for Federated Learning with Heterogeneous Data in Fog Computing. - Lingshuang Cai; Di Lin; Jiale Zhang 001; Shui Yu 001 (ICC, 2020)

GAN Enhanced Membership Inference: A Passive Local Attack in Federated Learning. - Jingwen Zhang; Jiale Zhang 001; Junjun Chen; Shui Yu 001 (ICC, 2020)

Beyond Model-Level Membership Privacy Leakage: an Adversarial Approach in Federated Learning. - Jiale Chen; Jiale Zhang 001; Yanchao Zhao; Hao Han; Kun Zhu 001; Bing Chen 002 (ICCCN, 2020)

Time Efficient Federated Learning with Semi-asynchronous Communication. - Jiangshan Hao; Yanchao Zhao; Jiale Zhang 001 (ICPADS, 2020)

Predicting Advanced Persistent Threats for IoT Systems Based on Federated Learning. - Zitong Li; Xiang Cheng 004; Jiale Zhang 001; Bing Chen 002 (SpaCCS, 2020)

Detecting Advanced Persistent Threat in Edge Computing via Federated Learning. - Zitong Li; Jiale Chen; Jiale Zhang 001; Xiang Cheng 004; Bing Chen 002 (SPDE, 2020)

LVPDA: A Lightweight and Verifiable Privacy-Preserving Data Aggregation Scheme for Edge-Enabled IoT. - Jiale Zhang 001; Yanchao Zhao; Jie Wu 001; Bing Chen 002 (IEEE Internet Things J., 2020)

FedMEC: Improving Efficiency of Differentially Private Federated Learning via Mobile Edge Computing. - Jiale Zhang 001; Yanchao Zhao; Junyu Wang; Bing Chen 002 (Mob. Networks Appl., 2020)

Defending against Membership Inference Attacks in Federated learning via Adversarial Example. - Yuanyuan Xie; Bing Chen 002; Jiale Zhang 001; Di Wu 050 (MSN, 2021)

OAC-HAS: outsourced access control with hidden access structures in fog-enhanced IoT systems. - Jiale Zhang 001; Zhen Cheng; Xiang Cheng 004; Bing Chen 002 (Connect. Sci., 2021)

PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems. - Jiale Zhang 001; Bing Chen 002; Xiang Cheng 004; Huynh Thi Thanh Binh; Shui Yu 001 (IEEE Internet Things J., 2021)

Predicting the APT for Cyber Situation Comprehension in 5G-Enabled IoT Scenarios Based on Differentially Private Federated Learning. - Xiang Cheng 004; Qian Luo; Ye Pan; Zitong Li; Jiale Zhang 001; Bing Chen 002 (Secur. Commun. Networks, 2021)

Proof of Engagement: A Flexible Blockchain Consensus Mechanism. - Yuntao Xu; Xingyu Yang; Jiale Zhang 001; Junwu Zhu; Maosheng Sun; Bing Chen 002 (Wirel. Commun. Mob. Comput., 2021)

Vulnerability Detection for Smart Contract via Backward Bayesian Active Learning. - Jiale Zhang 001; Liangqiong Tu; Jie Cai 006; Xiaobing Sun 001; Bin Li 006; Weitong Chen 002; Yu Wang 017 (ACNS Workshops, 2022)

FD-Leaks: Membership Inference Attacks Against Federated Distillation Learning. - Zilu Yang; Yanchao Zhao; Jiale Zhang 001 (APWeb/WAIM (3), 2022)

MIA-Leak: Exploring Membership Inference Attacks in Federated Learning Systems. - Chengcheng Zhu; Jiale Zhang 001; Xiang Cheng 004; Weitong Chen 002; Xiaobing Sun 001 (BlockTEA, 2022)

Edge-based Protection Against Malicious Poisoning for Distributed Federated Learning. - Qi Chen; Bing Chen 002; Feng Hu 003; Jiale Zhang 001 (CSCWD, 2022)

HBMD-FL: Heterogeneous Federated Learning Algorithm Based on Blockchain and Model Distillation. - Ye Li; Jiale Zhang 001; Junwu Zhu; Wenjuan Li 001 (EISA, 2022)

A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning. - Di Wu 050; Nai Wang; Jiale Zhang 001; Yuan Zhang 007; Yong Xiang 001; Longxiang Gao (IJCNN, 2022)

Cyber situation perception for Internet of Things systems based on zero-day attack activities recognition within advanced persistent threat. - Xiang Cheng 004; Jiale Zhang 001; Yaofeng Tu; Bing Chen 002 (Concurr. Comput. Pract. Exp., 2022)

Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks. - Ying Zhao 011; Junjun Chen; Jiale Zhang 001; Di Wu 050; Michael Blumenstein; Shui Yu 001 (Concurr. Comput. Pract. Exp., 2022)

SPVF: security property assisted vulnerability fixing via attention-based models. - Zhou Zhou; Lili Bo; Xiaoxue Wu 001; Xiaobing Sun 001; Tao Zhang 001; Bin Li 006; Jiale Zhang 001; Sicong Cao (Empir. Softw. Eng., 2022)

RobustFL: Robust Federated Learning Against Poisoning Attacks in Industrial IoT Systems. - Jiale Zhang 001; Chunpeng Ge 001; Feng Hu 003; Bing Chen 002 (IEEE Trans. Ind. Informatics, 2022)

Label-Only Membership Inference Attack Against Federated Distillation. - Xi Wang; Yanchao Zhao; Jiale Zhang 001; Bing Chen 002 (ICA3PP (2), 2023)

A Client-Side Watermarking with Private-Class in Federated Learning. - Weitong Chen 002; Wei Zhang 098; Jiale Zhang 001; Xiaobing Sun 001; Xiang Cheng 004; Chengcheng Zhu (ML4CS, 2023)

Tackling Non-IID for Federated Learning with Components Alignment. - Baolu Xue; Jiale Zhang 001; Bing Chen 002; Wenjuan Li 001 (ML4CS, 2023)

Extended Abstract of Combine Sliced Joint Graph with Graph Neural Networks for Smart Contract Vulnerability Detection. - Jie Cai 006; Bin Li 006; Jiale Zhang 001; Xiaobing Sun 001; Bing Chen 002 (SANER, 2023)

Combine sliced joint graph with graph neural networks for smart contract vulnerability detection. - Jie Cai 006; Bin Li 006; Jiale Zhang 001; Xiaobing Sun 001; Bing Chen 002 (J. Syst. Softw., 2023)

ASSBert: Active and semi-supervised bert for smart contract vulnerability detection. - Xiaobing Sun 001; Liangqiong Tu; Jiale Zhang 001; Jie Cai 006; Bin Li 006; Yu Wang 017 (J. Inf. Secur. Appl., 2023)

VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems. - Jiale Zhang 001; Yue Liu; Di Wu 050; Shuai Lou; Bing Chen 002; Shui Yu 001 (Digit. Commun. Networks, 2023)

LAFED: A lightweight authentication mechanism for blockchain-enabled federated learning system. - Shan Ji; Jiale Zhang 001; Yongjing Zhang; Zhaoyang Han; Chuan Ma 001 (Future Gener. Comput. Syst., 2023)

Multi-level membership inference attacks in federated Learning based on active GAN. - Hao Sui; Xiaobing Sun 001; Jiale Zhang 001; Bing Chen 002; Wenjuan Li 001 (Neural Comput. Appl., 2023)

An intrusion detection system based on stacked ensemble learning for IoT network. - Yongzhong Cao; Zhihui Wang; Hongwei Ding; Jiale Zhang 001; Bin Li 006 (Comput. Electr. Eng., 2023)

ADFL: Defending backdoor attacks in federated learning via adversarial distillation. - Chengcheng Zhu; Jiale Zhang 001; Xiaobing Sun 001; Bing Chen 002; Weizhi Meng 001 (Comput. Secur., 2023)

Fairness-Aware Federated Learning Framework on Heterogeneous Data Distributions. - Ye Li; Jiale Zhang 001; Yanchao Zhao; Bing Chen 002; Shui Yu 001 (ICC, 2024)

BADFSS: Backdoor Attacks on Federated Self-Supervised Learning. - Jiale Zhang 001; Chengcheng Zhu; Di Wu 050; Xiaobing Sun 001; Jianming Yong; Guodong Long (IJCAI, 2024)

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research. - Sicong Cao; Xiaobing Sun 001; Ratnadira Widyasari; David Lo 001; Xiaoxue Wu 001; Lili Bo; Jiale Zhang 001; Bin Li 006; Wei Liu 010; Di Wu 050; Yixin Chen 001 (CoRR, 2024)

Infighting in the Dark: Multi-Labels Backdoor Attack in Federated Learning. - Ye Li; Yanchao Zhao; Chengcheng Zhu; Jiale Zhang 001 (CoRR, 2024)

"No Matter What You Do!": Mitigating Backdoor Attacks in Graph Neural Networks. - Jiale Zhang 001; Chengcheng Zhu; Bosen Rao; Hao Sui; Xiaobing Sun 001; Bing Chen 002; Chunyi Zhou; Shouling Ji (CoRR, 2024)

DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks. - Hao Sui; Bing Chen 002; Jiale Zhang 001; Chengcheng Zhu; Di Wu 050; Qinghua Lu 001; Guodong Long (CoRR, 2024)

BadCleaner: Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation. - Jiale Zhang 001; Chengcheng Zhu; Chunpeng Ge 001; Chuan Ma 001; Yanchao Zhao; Xiaobing Sun 001; Bing Chen 002 (IEEE Trans. Dependable Secur. Comput., 2024)

FLPurifier: Backdoor Defense in Federated Learning via Decoupled Contrastive Training. - Jiale Zhang 001; Chengcheng Zhu; Xiaobing Sun 001; Chunpeng Ge 001; Bing Chen 002; Willy Susilo; Shui Yu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

GrabPhisher: Phishing Scams Detection in Ethereum via Temporally Evolving GNNs. - Jiale Zhang 001; Hao Sui; Xiaobing Sun 001; Chunpeng Ge 001; Lu Zhou 002; Willy Susilo (IEEE Trans. Serv. Comput., 2024)

Fine-grained smart contract vulnerability detection by heterogeneous code feature learning and automated dataset construction. - Jie Cai 006; Bin Li 006; Tao Zhang 001; Jiale Zhang 001; Xiaobing Sun 001 (J. Syst. Softw., 2024)

EXVul: Toward Effective and Explainable Vulnerability Detection for IoT Devices. - Sicong Cao; Xiaobing Sun 001; Wei Liu 010; Di Wu 050; Jiale Zhang 001; Yan Li 002; Tom H. Luan; Longxiang Gao (IEEE Internet Things J., 2024)

Ponzi Scheme Detection in Smart Contract via Transaction Semantic Representation Learning. - Jie Cai 006; Bin Li 006; Jiale Zhang 001; Xiaobing Sun 001 (IEEE Trans. Reliab., 2024)

Blockfd: blockchain-based federated distillation against poisoning attacks. - Ye Li; Jiale Zhang 001; Junwu Zhu; Wenjuan Li 001 (Neural Comput. Appl., 2024)

Application programming interface recommendation for smart contract using deep learning from augmented code representation. - Jie Cai 006; Qian Cai; Bin Li 006; Jiale Zhang 001; Xiaobing Sun 001 (J. Softw. Evol. Process., 2024)

Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning. - Ye Li; Yanchao Zhao; Chengcheng Zhu; Jiale Zhang 001 (CVPR, 2025)

FedRPN: An Efficient Framework for Optimizing System Heterogeneity in Federated Learning. - Baolu Xue; Hanyuan Zheng; Jiale Zhang 001; Jiewen Liu; Bing Chen 002 (ICASSP, 2025)

Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models. - Jiale Zhang 001; Haoxuan Li; Di Wu 050; Xiaobing Sun 001; Qinghua Lu 001; Guodong Long (WWW, 2025)

EPAD: Ethereum phishing scam detection via graph contrastive learning. - Hao Sui; Jiale Zhang 001; Bing Chen 002; Di Wu 050; Xiaobing Sun 001; Shivakumara Palaiahnakote (Expert Syst. Appl., 2025)

SFFL: Self-aware fairness federated learning framework for heterogeneous data distributions. - Jiale Zhang 001; Ye Li; Di Wu 050; Yanchao Zhao; Shivakumara Palaiahnakote (Expert Syst. Appl., 2025)

Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data. - Jiale Zhang 001; Bosen Rao; Chengcheng Zhu; Xiaobing Sun 001; Qingming Li; Haibo Hu 001; Xiapu Luo; Qingqing Ye 001; Shouling Ji (CoRR, 2025)

Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey. - Bosen Rao; Jiale Zhang 001; Di Wu 050; Chengcheng Zhu; Xiaobing Sun 001; Bing Chen 002 (IEEE Trans. Artif. Intell., 2025)

Towards Generalized and Stealthy Watermarking for Generative Code Models. - Haoxuan Li; Jiale Zhang 001; Xiaobing Sun 001; Xiapu Luo (CoRR, 2025)

FedPG: a privacy-friendly and universal method for solving non-IID data in federated learning. - Baolu Xue; Jiale Zhang 001; Bing Chen 002; Weizhi Meng 001 (Pattern Anal. Appl., 2025)

FedMLC: White-Box Model Watermarking for Copyright Protection in Federated Learning for IoT Environment. - Weitong Chen 002; Wei Zhang 098; Di Wu 050; Anja Keskinarkaus; Tapio Seppänen; Jiale Zhang 001; Longxiang Gao; Tom H. Luan (IEEE Internet Things J., 2025)

BDFirewall: Towards Effective and Expeditiously Black-Box Backdoor Defense in MLaaS. - Ye Li; Chengcheng Zhu; Yanchao Zhao; Jiale Zhang 001 (CoRR, 2025)