Jiale Zhang

About Jiale Zhang

Jiale Zhang, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Nanjing University of Aeronautics and Astronautics, specializes in the field of AI security and privacy, Federated learning, Blockchain.

His recent articles reflect a diverse array of research interests and contributions to the field:

基于对比训练的联邦学习后门防御方法

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

Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey

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

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

Blockfd: blockchain-based federated distillation against poisoning attacks

FLPurifier: Backdoor Defense in Federated Learning via Decoupled Contrastive Training

EXVUL: Towards Effective and Explainable Vulnerability Detection for IoT Devices

Jiale Zhang Information

University

Position

___

Citations(all)

1538

Citations(since 2020)

1523

Cited By

284

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

24

i10Index(since 2020)

24

Email

University Profile Page

Google Scholar

Jiale Zhang Skills & Research Interests

AI security and privacy

Federated learning

Blockchain

Top articles of Jiale Zhang

基于对比训练的联邦学习后门防御方法

通信学报

2024/3

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

Journal of Systems and Software

2024/3/1

Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey

2024/2/8

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

2024/1/26

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

IEEE Transactions on Dependable and Secure Computing

2024/1/15

Blockfd: blockchain-based federated distillation against poisoning attacks

Neural Computing and Applications

2024/4/23

FLPurifier: Backdoor Defense in Federated Learning via Decoupled Contrastive Training

IEEE Transactions on Information Forensics and Security

2024/4/4

EXVUL: Towards Effective and Explainable Vulnerability Detection for IoT Devices

IEEE Internet of Things Journal

2024/3/27

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

Journal of Software: Evolution and Process

2024/3/3

IoT Botnet Attacks Detection and Classification Based on Ensemble Learning

2023/10/21

Label-Only Membership Inference Attack Against Federated Distillation

2023/10/20

Ponzi Scheme Detection in Smart Contract via Transaction Semantic Representation Learning

IEEE Transactions on Reliability

2023/10/9

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

Computers and Electrical Engineering

2023/9/1

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

Future Generation Computer Systems

2023/8/1

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

Digital Communications and Networks

2023/8/1

ADFL: Defending Backdoor Attacks in Federated Learning via Adversarial Distillation

Computers & Security

2023/9/1

基于 GAN 的联邦学习成员推理攻击与防御方法

通信学报

2023/5/1

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

Neural Computing and Applications

2023/8

ASSBert: Active and semi-supervised bert for smart contract vulnerability detection

Journal of Information Security and Applications

2023/3/1

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

Journal of Systems and Software

2023/1/1

See List of Professors in Jiale Zhang University(Nanjing University of Aeronautics and Astronautics)

Co-Authors

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