Jiale Zhang - RankMe

79 papers A* 4A 1B 5C 1Misc 1Journal 48Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Systematic Literature Review on Explainability for ML/DL-based Software Engineering. ACM Comput. Surv. Sicong Cao, Xiaobing Sun, Ratnadira Widyasari, David Lo, Xiaoxue Wu, Lili Bo, Jiale Zhang, Bin Li, Wei Liu, Di Wu, Yixin Chen
2026	J	`jnl`	GDetox: Purifying Backdoor Encoder in Graph Self-Supervised Learning via Knowledge Distillation. IEEE Trans. Inf. Forensics Secur. Hao Sui, Jiale Zhang, Bing Chen, Chengcheng Zhu, Chunpeng Ge, Weizhi Meng, Willy Susilo
2026	J	`jnl`	GResMark: A swin transformer-based watermarking framework with geometric attack resilience. Expert Syst. Appl. Weitong Chen, Yuheng Li, Jiale Zhang, Chunpeng Ge, Di Wu, Willy Susilo, Shivakumara Palaiahnakote
2026	J	`jnl`	Meta-FC: Meta-Learning with Feature Consistency for Robust and Generalizable Watermarking. CoRR Yuheng Li, Weitong Chen, Chengcheng Zhu, Jiale Zhang, Chunpeng Ge, Di Wu, Guodong Long
2026	A*	`conf`	MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation. AAAI Jiale Zhang, Yanan Wang, Bosen Rao, Chengcheng Zhu, Xiaobing Sun, Yu Li
2025	J	`jnl`	BDFirewall: Towards Effective and Expeditiously Black-Box Backdoor Defense in MLaaS. CoRR Ye Li, Chengcheng Zhu, Yanchao Zhao, Jiale Zhang
2025	A*	`conf`	Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models. WWW Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long
2025	J	`jnl`	EPAD: Ethereum phishing scam detection via graph contrastive learning. Expert Syst. Appl. Hao Sui, Jiale Zhang, Bing Chen, Di Wu, Xiaobing Sun, Shivakumara Palaiahnakote
2025	J	`jnl`	FedMLC: White-Box Model Watermarking for Copyright Protection in Federated Learning for IoT Environment. IEEE Internet Things J. Weitong Chen, Wei Zhang, Di Wu, Anja Keskinarkaus, Tapio Seppänen, Jiale Zhang, Longxiang Gao, Tom H. Luan
2025	J	`jnl`	FedPG: a privacy-friendly and universal method for solving non-IID data in federated learning. Pattern Anal. Appl. Baolu Xue, Jiale Zhang, Bing Chen, Weizhi Meng
2025	Misc	`conf`	FedRPN: An Efficient Framework for Optimizing System Heterogeneity in Federated Learning. ICASSP Baolu Xue, Hanyuan Zheng, Jiale Zhang, Jiewen Liu, Bing Chen
2025	J	`jnl`	Federated Unlearning in the Wild: Rethinking Fairness and Data Discrepancy. CoRR Ziheng Huang, Di Wu, Jun Bai, Jiale Zhang, Sicong Cao, Ji Zhang, Yingjie Hu
2025	J	`jnl`	Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data. CoRR Jiale Zhang, Bosen Rao, Chengcheng Zhu, Xiaobing Sun, Qingming Li, Haibo Hu, Xiapu Luo, Qingqing Ye, Shouling Ji
2025	J	`jnl`	GraphCleanse: Defending Backdoor Attacks in Graph Learning via Contrastive Training. IEEE Trans. Inf. Forensics Secur. Jiale Zhang, Hao Sui, Wanquan Zhu, Chengcheng Zhu, Xiaobing Sun, Chunpeng Ge, Bing Chen, Mingsheng Cao
2025	A*	`conf`	Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning. CVPR Ye Li, Yanchao Zhao, Chengcheng Zhu, Jiale Zhang
2025	J	`jnl`	KG4VA: Constructing Vulnerability Knowledge Graph for Software Vulnerability Assessment. IEEE Trans. Serv. Comput. Zhenlei Ye, Xiaobing Sun, Lili Bo, Sicong Cao, Xiaoxue Ren, Lianyong Qi, Jiale Zhang
2025	J	`jnl`	Misactivation-Aware Stealthy Backdoor Attacks on Neural Code Understanding Models. IEEE Trans. Software Eng. Xiaobing Sun, Yiran Xiao, Lili Bo, Weisong Sun, Xiangyue Liu, Bin Li, Jiale Zhang
2025	J	`jnl`	Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey. IEEE Trans. Artif. Intell. Bosen Rao, Jiale Zhang, Di Wu, Chengcheng Zhu, Xiaobing Sun, Bing Chen
2025	J	`jnl`	SFFL: Self-aware fairness federated learning framework for heterogeneous data distributions. Expert Syst. Appl. Jiale Zhang, Ye Li, Di Wu, Yanchao Zhao, Shivakumara Palaiahnakote
2025	J	`jnl`	SSLDefender: Backdoor Defense in Self-Supervised Learning via Distillation-Guided Unlearning. IEEE Trans. Inf. Forensics Secur. Jiale Zhang, Wanquan Zhu, Kai Wang, Chengcheng Zhu, Xiaobing Sun, Weizhi Meng, Xiapu Luo
2025	J	`jnl`	Towards Generalized and Stealthy Watermarking for Generative Code Models. CoRR Haoxuan Li, Jiale Zhang, Xiaobing Sun, Xiapu Luo
2024	J	`jnl`	"No Matter What You Do!": Mitigating Backdoor Attacks in Graph Neural Networks. CoRR Jiale Zhang, Chengcheng Zhu, Bosen Rao, Hao Sui, Xiaobing Sun, Bing Chen, Chunyi Zhou, Shouling Ji
2024	J	`jnl`	A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research. CoRR Sicong Cao, Xiaobing Sun, Ratnadira Widyasari, David Lo, Xiaoxue Wu, Lili Bo, Jiale Zhang, Bin Li, Wei Liu, Di Wu, Yixin Chen
2024	J	`jnl`	Application programming interface recommendation for smart contract using deep learning from augmented code representation. J. Softw. Evol. Process. Jie Cai, Qian Cai, Bin Li, Jiale Zhang, Xiaobing Sun
2024	A*	`conf`	BADFSS: Backdoor Attacks on Federated Self-Supervised Learning. IJCAI Jiale Zhang, Chengcheng Zhu, Di Wu, Xiaobing Sun, Jianming Yong, Guodong Long
2024	J	`jnl`	BadCleaner: Defending Backdoor Attacks in Federated Learning via Attention-Based Multi-Teacher Distillation. IEEE Trans. Dependable Secur. Comput. Jiale Zhang, Chengcheng Zhu, Chunpeng Ge, Chuan Ma, Yanchao Zhao, Xiaobing Sun, Bing Chen
2024	J	`jnl`	Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models. CoRR Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long
2024	J	`jnl`	Blockfd: blockchain-based federated distillation against poisoning attacks. Neural Comput. Appl. Ye Li, Jiale Zhang, Junwu Zhu, Wenjuan Li
2024	J	`jnl`	DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks. CoRR Hao Sui, Bing Chen, Jiale Zhang, Chengcheng Zhu, Di Wu, Qinghua Lu, Guodong Long
2024	J	`jnl`	EXVul: Toward Effective and Explainable Vulnerability Detection for IoT Devices. IEEE Internet Things J. Sicong Cao, Xiaobing Sun, Wei Liu, Di Wu, Jiale Zhang, Yan Li, Tom H. Luan, Longxiang Gao
2024	J	`jnl`	FLPurifier: Backdoor Defense in Federated Learning via Decoupled Contrastive Training. IEEE Trans. Inf. Forensics Secur. Jiale Zhang, Chengcheng Zhu, Xiaobing Sun, Chunpeng Ge, Bing Chen, Willy Susilo, Shui Yu
2024	—	`conf`	Fairness-Aware Federated Learning Framework on Heterogeneous Data Distributions. ICC Ye Li, Jiale Zhang, Yanchao Zhao, Bing Chen, Shui Yu
2024	J	`jnl`	Fine-grained smart contract vulnerability detection by heterogeneous code feature learning and automated dataset construction. J. Syst. Softw. Jie Cai, Bin Li, Tao Zhang, Jiale Zhang, Xiaobing Sun
2024	J	`jnl`	GrabPhisher: Phishing Scams Detection in Ethereum via Temporally Evolving GNNs. IEEE Trans. Serv. Comput. Jiale Zhang, Hao Sui, Xiaobing Sun, Chunpeng Ge, Lu Zhou, Willy Susilo
2024	J	`jnl`	Infighting in the Dark: Multi-Labels Backdoor Attack in Federated Learning. CoRR Ye Li, Yanchao Zhao, Chengcheng Zhu, Jiale Zhang
2024	J	`jnl`	Ponzi Scheme Detection in Smart Contract via Transaction Semantic Representation Learning. IEEE Trans. Reliab. Jie Cai, Bin Li, Jiale Zhang, Xiaobing Sun
2023	—	`conf`	A Client-Side Watermarking with Private-Class in Federated Learning. ML4CS Weitong Chen, Wei Zhang, Jiale Zhang, Xiaobing Sun, Xiang Cheng, Chengcheng Zhu
2023	J	`jnl`	ADFL: Defending backdoor attacks in federated learning via adversarial distillation. Comput. Secur. Chengcheng Zhu, Jiale Zhang, Xiaobing Sun, Bing Chen, Weizhi Meng
2023	J	`jnl`	An intrusion detection system based on stacked ensemble learning for IoT network. Comput. Electr. Eng. Yongzhong Cao, Zhihui Wang, Hongwei Ding, Jiale Zhang, Bin Li
2023	J	`jnl`	Combine sliced joint graph with graph neural networks for smart contract vulnerability detection. J. Syst. Softw. Jie Cai, Bin Li, Jiale Zhang, Xiaobing Sun, Bing Chen
2023	A	`conf`	Extended Abstract of Combine Sliced Joint Graph with Graph Neural Networks for Smart Contract Vulnerability Detection. SANER Jie Cai, Bin Li, Jiale Zhang, Xiaobing Sun, Bing Chen
2023	J	`jnl`	LAFED: A lightweight authentication mechanism for blockchain-enabled federated learning system. Future Gener. Comput. Syst. Shan Ji, Jiale Zhang, Yongjing Zhang, Zhaoyang Han, Chuan Ma
2023	—	`conf`	Label-Only Membership Inference Attack Against Federated Distillation. ICA3PP (2) Xi Wang, Yanchao Zhao, Jiale Zhang, Bing Chen
2023	J	`jnl`	Multi-level membership inference attacks in federated Learning based on active GAN. Neural Comput. Appl. Hao Sui, Xiaobing Sun, Jiale Zhang, Bing Chen, Wenjuan Li
2023	—	`conf`	Tackling Non-IID for Federated Learning with Components Alignment. ML4CS Baolu Xue, Jiale Zhang, Bing Chen, Wenjuan Li
2023	J	`jnl`	VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems. Digit. Commun. Networks Jiale Zhang, Yue Liu, Di Wu, Shuai Lou, Bing Chen, Shui Yu
2022	B	`conf`	A Blockchain-based Multi-layer Decentralized Framework for Robust Federated Learning. IJCNN Di Wu, Nai Wang, Jiale Zhang, Yuan Zhang, Yong Xiang, Longxiang Gao
2022	J	`jnl`	Cyber situation perception for Internet of Things systems based on zero-day attack activities recognition within advanced persistent threat. Concurr. Comput. Pract. Exp. Xiang Cheng, Jiale Zhang, Yaofeng Tu, Bing Chen
2022	J	`jnl`	Detecting and mitigating poisoning attacks in federated learning using generative adversarial networks. Concurr. Comput. Pract. Exp. Ying Zhao, Junjun Chen, Jiale Zhang, Di Wu, Michael Blumenstein, Shui Yu
2022	C	`conf`	Edge-based Protection Against Malicious Poisoning for Distributed Federated Learning. CSCWD Qi Chen, Bing Chen, Feng Hu, Jiale Zhang
2022	—	`conf`	FD-Leaks: Membership Inference Attacks Against Federated Distillation Learning. APWeb/WAIM (3) Zilu Yang, Yanchao Zhao, Jiale Zhang
2022	—	`conf`	HBMD-FL: Heterogeneous Federated Learning Algorithm Based on Blockchain and Model Distillation. EISA Ye Li, Jiale Zhang, Junwu Zhu, Wenjuan Li
2022	—	`conf`	MIA-Leak: Exploring Membership Inference Attacks in Federated Learning Systems. BlockTEA Chengcheng Zhu, Jiale Zhang, Xiang Cheng, Weitong Chen, Xiaobing Sun
2022	J	`jnl`	RobustFL: Robust Federated Learning Against Poisoning Attacks in Industrial IoT Systems. IEEE Trans. Ind. Informatics Jiale Zhang, Chunpeng Ge, Feng Hu, Bing Chen
2022	J	`jnl`	SPVF: security property assisted vulnerability fixing via attention-based models. Empir. Softw. Eng. Zhou Zhou, Lili Bo, Xiaoxue Wu, Xiaobing Sun, Tao Zhang, Bin Li, Jiale Zhang, Sicong Cao
2022	—	`conf`	Vulnerability Detection for Smart Contract via Backward Bayesian Active Learning. ACNS Workshops Jiale Zhang, Liangqiong Tu, Jie Cai, Xiaobing Sun, Bin Li, Weitong Chen, Yu Wang
2021	—	`conf`	Defending against Membership Inference Attacks in Federated learning via Adversarial Example. MSN Yuanyuan Xie, Bing Chen, Jiale Zhang, Di Wu
2021	J	`jnl`	OAC-HAS: outsourced access control with hidden access structures in fog-enhanced IoT systems. Connect. Sci. Jiale Zhang, Zhen Cheng, Xiang Cheng, Bing Chen
2021	J	`jnl`	PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems. IEEE Internet Things J. Jiale Zhang, Bing Chen, Xiang Cheng, Huynh Thi Thanh Binh, Shui Yu
2021	J	`jnl`	Predicting the APT for Cyber Situation Comprehension in 5G-Enabled IoT Scenarios Based on Differentially Private Federated Learning. Secur. Commun. Networks Xiang Cheng, Qian Luo, Ye Pan, Zitong Li, Jiale Zhang, Bing Chen
2021	J	`jnl`	Proof of Engagement: A Flexible Blockchain Consensus Mechanism. Wirel. Commun. Mob. Comput. Yuntao Xu, Xingyu Yang, Jiale Zhang, Junwu Zhu, Maosheng Sun, Bing Chen
2020	B	`conf`	Beyond Model-Level Membership Privacy Leakage: an Adversarial Approach in Federated Learning. ICCCN JiaLe Chen, Jiale Zhang, Yanchao Zhao, Hao Han, Kun Zhu, Bing Chen
2020	—	`conf`	Defending Poisoning Attacks in Federated Learning via Adversarial Training Method. FCS Jiale Zhang, Di Wu, Chengyong Liu, Bing Chen
2020	—	`conf`	Detecting Advanced Persistent Threat in Edge Computing via Federated Learning. SPDE Zitong Li, JiaLe Chen, Jiale Zhang, Xiang Cheng, Bing Chen
2020	—	`conf`	Dynamic Sample Selection for Federated Learning with Heterogeneous Data in Fog Computing. ICC Lingshuang Cai, Di Lin, Jiale Zhang, Shui Yu
2020	J	`jnl`	FedMEC: Improving Efficiency of Differentially Private Federated Learning via Mobile Edge Computing. Mob. Networks Appl. Jiale Zhang, Yanchao Zhao, Junyu Wang, Bing Chen
2020	—	`conf`	GAN Enhanced Membership Inference: A Passive Local Attack in Federated Learning. ICC Jingwen Zhang, Jiale Zhang, Junjun Chen, Shui Yu
2020	J	`jnl`	LVPDA: A Lightweight and Verifiable Privacy-Preserving Data Aggregation Scheme for Edge-Enabled IoT. IEEE Internet Things J. Jiale Zhang, Yanchao Zhao, Jie Wu, Bing Chen
2020	—	`conf`	Predicting Advanced Persistent Threats for IoT Systems Based on Federated Learning. SpaCCS Zitong Li, Xiang Cheng, Jiale Zhang, Bing Chen
2020	B	`conf`	Time Efficient Federated Learning with Semi-asynchronous Communication. ICPADS Jiangshan Hao, Yanchao Zhao, Jiale Zhang
2019	—	`conf`	A Privacy-Preserving Access Control Scheme with Verifiable and Outsourcing Capabilities in Fog-Cloud Computing. ICA3PP (1) Zhen Cheng, Jiale Zhang, Hongyan Qian, Mingrong Xiang, Di Wu
2019	—	`conf`	An Efficient Federated Learning Scheme with Differential Privacy in Mobile Edge Computing. MLICOM Jiale Zhang, Junyu Wang, Yanchao Zhao, Bing Chen
2019	—	`conf`	Correlate the Advanced Persistent Threat Alerts and Logs for Cyber Situation Comprehension. SocialSec Xiang Cheng, Jiale Zhang, Bing Chen
2019	J	`jnl`	Cyber Situation Comprehension for IoT Systems based on APT Alerts and Logs Correlation. Sensors Xiang Cheng, Jiale Zhang, Bing Chen
2019	—	`conf`	PDGAN: A Novel Poisoning Defense Method in Federated Learning Using Generative Adversarial Network. ICA3PP (1) Ying Zhao, Junjun Chen, Jiale Zhang, Di Wu, Jian Teng, Shui Yu
2019	B	`conf`	PEFL: A Privacy-Enhanced Federated Learning Scheme for Big Data Analytics. GLOBECOM Jiale Zhang, Bing Chen, Shui Yu, Hai Deng
2019	—	`conf`	Poisoning Attack in Federated Learning using Generative Adversarial Nets. TrustCom/BigDataSE Jiale Zhang, Junjun Chen, Di Wu, Bing Chen, Shui Yu
2018	J	`jnl`	Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues. IEEE Access Jiale Zhang, Bing Chen, Yanchao Zhao, Xiang Cheng, Feng Hu
2018	B	`conf`	LPDA-EC: A Lightweight Privacy-Preserving Data Aggregation Scheme for Edge Computing. MASS Jiale Zhang, Yanchao Zhao, Jie Wu, Bing Chen