个人主页 | 聂何望 (Hewang Nie)

个人简介

聂何望，男，汉族，籍贯江西省九江市，博士 / 讲师。2025年6月毕业于华中科技大学，获网络与信息安全博士学位。长期致力于人工智能安全、可逆信息隐藏、神经网络模型水印等领域的研究。

主持中央网信办创新资助计划项目，参与国家重点研发计划、国家科学自然基金地区科学基金项目、广西高校中青年教师基础能力提升项目等重要科研项目研究。已在国内外著名期刊和会议发表论文十余篇，其中SCI一区TOP国际期刊论文6篇，CCF-B类国际期刊 / 会议论文9篇，获发明专利3件，软件著作权3件。

研究主线 人工智能安全与模型版权保护

技术方向 联邦学习安全、模型水印、数据水印

招生方向 计算机科学与技术、软件工程、电子信息

学术任职

Scientific Reports 编委 (Editorial Board Member)

中国图象图形学学会数字媒体取证与安全专委会 委员

Pacific Graphics 2026 (PG 2026, Singapore) 程序委员会委员 (International Program Committee Member) CCF B

The 2nd SMPP Workshop (2026 IEEE BIBM) 程序委员会委员 (PC Member)

“新一代图像安全技术研讨会” 程序委员会委员 (PC Member)

期刊审稿人

IEEE Transactions on Artificial Intelligence
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Information Forensics & Security
IEEE Access
Knowledge-Based Systems
Expert Systems with Applications
Engineering Applications of Artificial Intelligence
Information Processing & Management
Information Fusion
Information Sciences
Applied Soft Computing
Neural Networks
Neurocomputing
Signal Processing
Ad Hoc Networks
Cluster Computing
Complex & Intelligent Systems
EURASIP Journal on Image and Video Processing
IET Image Processing
PLOS ONE
Journal of King Saud University -- Computer and Information Sciences
Smart Health
Computer Law & Security Review
International Journal of Computational Intelligence Systems

会议审稿人

ICASSP
ICME
IJCNN

科研项目

中央网信办，网络安全学院学生创新资助计划，AI数据模型防泄露检测工具，2024.04-2025.04，5万元，结题，主持

国家重点研发计划 (2021YFB2012200)，开放式数控系统安全可信技术，2021.11-2024.10，2297万元，结题，参与

广西教育厅 (2021KY0861)，基于注意力卷积神经网络的目标检测算法研究，2021.01-2025.04，2万元，结题，参与

国家自然科学基金 (61962008)，基于矩阵分解的彩色图像哈希算法研究，2020.01-2023.12，40万元，结题，参与

论文发表

† 通讯作者 ∗ 共同一作

期刊论文

2026

1
Watermarking for Model Ownership Verification: Invisible at Deployment, Activated by Updates
Nie Hewang, Jue Xiao, Zhi Lu, Renfei Shen, Chunqiang Yu, Zhenjun Tang†.
ACM Transactions on Privacy and Security, 2026.
SCI三区 CCF B类
2
Exclusive and Updateable Watermarking for Neural Network Model Trading
Nie Hewang, Xuemei Yuan, Jue Xiao.
IEEE Transactions on Circuits and Systems for Video Technology, 2026.
SCI一区 TOP期刊 CCF B类
3
Delete but Not Gone: Reactivation of Neural Network Watermarks
Nie Hewang, Jue Xiao, Zhi Lu, Renfei Shen, Songfeng Lu.
ACM Transactions on Intelligent Systems and Technology, 2026.
SCI二区
4
零信任与零知识融合的匿名身份认证
路直, 沈任飞, 聂何望, 骆婷, 路松峰.
计算机学报, 2026.
CCF A类中文期刊

2025

5
Compression Is No Barrier: Dataset Copyright Protection with Compression-Resistant Backdoor Watermarks
Nie Hewang, Xuemei Yuan.
Information Processing & Management, 2025.
SCI一区 TOP期刊 CCF B类
6
Beyond Protection: Unveiling Neural Network Copyright Trading
Xuemei Yuan, Nie Hewang†.
Knowledge-Based Systems, 2025.
SCI一区 TOP期刊 CCF C类
7
Secure Industrial Federated Learning: Label Encryption for Model Protection
Xuemei Yuan, Nie Hewang†.
Engineering Applications of Artificial Intelligence, 2025.
SCI一区 TOP期刊 CCF C类
8
Federated Learning with Bilateral Defense via Blockchain
Jue Xiao∗, Nie Hewang∗, Xueming Tang, Songfeng Lu.
Neural Networks, 2025.
SCI二区 CCF B类

2024

9
Deep Model Intellectual Property Protection with Compression-Resistant Model Watermarking
Nie Hewang, Songfeng Lu, Junjun Wu, Jianxin Zhu.
IEEE Transactions on Artificial Intelligence, 2024.
10
PersistVerifty: Federated model ownership verification with spatial attention and boundary sampling
Nie Hewang, Songfeng Lu.
Knowledge-Based Systems, 2024.
SCI一区 TOP期刊 CCF C类
11
FedCRMW: Federated model ownership verification with compression-resistant model watermarking
Nie Hewang, Songfeng Lu.
Expert Systems with Applications, 2024.
SCI一区 TOP期刊 CCF C类
12
Securing IP in Edge AI: Neural Network Watermarking for Multimodal Models
Nie Hewang, Songfeng Lu.
Applied Intelligence, 2024.
SCI三区 CCF C类

2020

13
Color image reversible data hiding with double-layer embedding
Zhenjun Tang, Nie Hewang, Chi-Man Pun, Heng Yao, Chunqiang Yu, Xianquan Zhang.
IEEE Access, 2020.
SCI四区

会议论文

2025

14
Optimized Dynamic Watermarking for Audio DNNs with Adaptive Embedding and Boundary Sampling
Hao Fei∗, Nie Hewang∗, Siqi Sun, Songfeng Lu, Ting Luo, Dunbo Cai, Zhiguo Huang, Runqing Zhang.
ICASSP 2025.
CCF B类
15
FedDiT: Federated Learning by Distillation Token Enhanced Vision Transformer
Jue Xiao, Zepu Yi, Nie Hewang, Zhi Lu, Xueming Tang, Songfeng Lu, Zhiguo Huang, Runqing Zhang.
ICASSP 2025.
CCF B类
16
VSDA: Privacy-Preserving Verifiable Secure Distributed Aggregation for Multi-Center Clinical and Genomic Data
Zhe Dong, Zhi Lu, Renfei Shen, Nie Hewang, Jue Xiao, Junming Li, Songfeng Lu.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025.
CCF B类

2024

17
VeriChroma: Ownership Verification for Federated Models via RGB Filters
Nie Hewang, Songfeng Lu, Mu Wang, Jue Xiao, Zhi Lu, Zepu Yi.
Euro-Par 2024.
CCF B类
18
Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning
Zhi Lu, Songfeng Lu, Yongquan Cui, Junjun Wu, Nie Hewang, Jue Xiao, Zepu Yi.
Euro-Par 2024.
CCF B类

发明专利与软件著作权

发明专利

路松峰, 路直, 聂何望, 杨豪. 一种基于国产密码的工控数据安全防护系统及其工作方法. CN118133298A (2024).
路松峰, 周立天, 朱建新, 罗勇, 聂何望. 一种基于LSTM的数控系统日志审计方法及终端. CN116781321A (2023).
路松峰, 肖珏, 路直, 聂何望, 杨豪. 一种适用于数控系统的流加密机及其工作方法. CN116684076A (2023).

软件著作权

聂何望, 唐振军, 梁晓萍, 广西师范大学. 抗压缩的联邦学习模型水印系统V1.0，登记号：2025R11L2606607
聂何望, 唐振军, 陈旅, 广西师范大学. 基于边界采样的音频深度神经网络模型水印系统V1.0，登记号：2025SR2186923
聂何望, 唐振军, 凌曼, 广西师范大学. 基于SVM的车牌识别软件V1.0，登记号：2018SR219059

学术交流

2025.11（海南海口）：第六届 CSIG 中国媒体取证与安全大会 (ChinaMFS 2025)

2025.11（广西桂林）：新一代图像安全技术研讨会 (Workshop on New-Generation Image Security Technologies)

2024.08（西班牙马德里）：Euro-Par 2024 第30届并行与分布式计算国际欧洲大会

2019.10（福建厦门）：第十五届全国信息隐藏暨多媒体信息安全学术大会 (CIHW 2019)

荣誉奖项

优秀毕业博士研究生 (2025)
博士研究生国家奖学金 (2023-2024)

教学与指导

指导本科生获奖：

高锐 (2019级)：全国蓝桥杯大赛广西赛区三等奖
韩林荣 (2019级)：全国蓝桥杯大赛广西赛区二等奖

招生启事

欢迎对人工智能安全、联邦学习与模型水印等方向感兴趣的同学报考与加入课题组！ 同时欢迎踏实勤奋、积极上进的本科生加入。

招生专业（学硕）：计算机科学与技术、软件工程
招生专业（专硕）：电子信息
研究方向：模型版权保护、联邦学习所有权验证、数据 / 模型水印、AI安全评测等
期望背景：具备良好的编程基础（Python / PyTorch优先），对科研有热情与自驱力
联系方式：请附个人简历、成绩单及代表性成果发送至：nhw@gxnu.edu.cn

About

Hewang Nie is a Lecturer with a Ph.D. in Cyberspace Security from Huazhong University of Science and Technology. He received his doctoral degree in June 2025. His research focuses on AI security, reversible information hiding, and neural network watermarking.

He has led a student innovation funding project from the Cyberspace Administration of China and participated in major research programs including the National Key R&D Program of China and the National Natural Science Foundation of China. He has published over ten papers in well-known journals and conferences, including 6 papers in SCI Q1 TOP journals and 9 papers in CCF-B journals / conferences. He holds 3 invention patents and 3 software copyrights.

Research Focus AI security and model intellectual property protection

Technical Areas Federated learning security, model watermarking, and data watermarking

Admission Areas Computer Science, Software Engineering, and Electronic Information

Research Interests

AI Security; Intellectual Property Protection for Neural Network Models
Multimedia Information Security; Neural Network Watermarking; Reversible Information Hiding; Image Watermarking
Federated Learning Security; Model Ownership Verification
Artificial Intelligence in Healthcare; Image Processing

Academic Service

Editorial Board Member for Scientific Reports.

Member of the Digital Media Forensics and Security Committee, CSIG.

International Program Committee Member for Pacific Graphics 2026 (PG 2026, Singapore) CCF B

PC Member for The 2nd SMPP Workshop (2026 IEEE BIBM).

PC Member for Workshop on New-Generation Image Security Technologies.

Journal Reviewer

IEEE Transactions on Artificial Intelligence
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Information Forensics & Security
IEEE Access
Knowledge-Based Systems
Expert Systems with Applications
Engineering Applications of Artificial Intelligence
Information Processing & Management
Information Fusion
Information Sciences
Applied Soft Computing
Neural Networks
Neurocomputing
Signal Processing
Ad Hoc Networks
Cluster Computing
Complex & Intelligent Systems
EURASIP Journal on Image and Video Processing
IET Image Processing
PLOS ONE
Journal of King Saud University -- Computer and Information Sciences
Smart Health
Computer Law & Security Review
International Journal of Computational Intelligence Systems

Conference Reviewer

ICASSP
ICME
IJCNN

Projects

Cyberspace Administration of China, AI Data / Model Leakage Detection Tool, 2024.04-2025.04, PI.

National Key R&D Program (2021YFB2012200), Security for Open CNC Systems, 2021.11-2024.10, Participant.

Guangxi Education Department, Object Detection with Attention-based CNN, 2021.01-2025.04, Participant.

National Natural Science Foundation of China (61962008), Color Image Hashing, 2020.01-2023.12, Participant.

Publications

† Corresponding Author ∗ Co-first Author

Journal Papers

2026

1
Watermarking for Model Ownership Verification: Invisible at Deployment, Activated by Updates
Hewang Nie, Jue Xiao, Zhi Lu, Renfei Shen, Chunqiang Yu, Zhenjun Tang†.
ACM Transactions on Privacy and Security, 2026.
SCI Q3 CCF B
2
Exclusive and Updateable Watermarking for Neural Network Model Trading
Hewang Nie, Xuemei Yuan, Jue Xiao.
IEEE Transactions on Circuits and Systems for Video Technology, 2026.
SCI Q1 TOP CCF B
3
Delete but Not Gone: Reactivation of Neural Network Watermarks
Hewang Nie, Jue Xiao, Zhi Lu, Renfei Shen, Songfeng Lu.
ACM Transactions on Intelligent Systems and Technology, 2026.
SCI Q2
4
Anonymous Identity Authentication Combining Zero-Trust and Zero-Knowledge
Zhi Lu, Renfei Shen, Hewang Nie, Ting Luo, Songfeng Lu.
Chinese Journal of Computers, 2026.
CCF A

2025

5
Compression Is No Barrier: Dataset Copyright Protection with Compression-Resistant Backdoor Watermarks
Hewang Nie, Xuemei Yuan.
Information Processing & Management, 2025.
SCI Q1 TOP CCF B
6
Beyond Protection: Unveiling Neural Network Copyright Trading
Xuemei Yuan, Hewang Nie†.
Knowledge-Based Systems, 2025.
SCI Q1 TOP CCF C
7
Secure Industrial Federated Learning: Label Encryption for Model Protection
Xuemei Yuan, Hewang Nie†.
Engineering Applications of Artificial Intelligence, 2025.
SCI Q1 TOP CCF C
8
Federated Learning with Bilateral Defense via Blockchain
Jue Xiao∗, Hewang Nie∗, Xueming Tang, Songfeng Lu.
Neural Networks, 2025.
SCI Q2 CCF B

2024

9
Deep Model Intellectual Property Protection with Compression-Resistant Model Watermarking
Hewang Nie, Songfeng Lu, Junjun Wu, Jianxin Zhu.
IEEE Transactions on Artificial Intelligence, 2024.
10
PersistVerifty: Federated model ownership verification with spatial attention and boundary sampling
Hewang Nie, Songfeng Lu.
Knowledge-Based Systems, 2024.
SCI Q1 TOP CCF C
11
FedCRMW: Federated model ownership verification with compression-resistant model watermarking
Hewang Nie, Songfeng Lu.
Expert Systems with Applications, 2024.
SCI Q1 TOP CCF C
12
Securing IP in Edge AI: Neural Network Watermarking for Multimodal Models
Hewang Nie, Songfeng Lu.
Applied Intelligence, 2024.
SCI Q3 CCF C

2020

13
Color image reversible data hiding with double-layer embedding
Zhenjun Tang, Hewang Nie, Chi-Man Pun, Heng Yao, Chunqiang Yu, Xianquan Zhang.
IEEE Access, 2020.
SCI Q4

Conference Papers

2025

14
Optimized Dynamic Watermarking for Audio DNNs with Adaptive Embedding and Boundary Sampling
Hao Fei∗, Hewang Nie∗, Siqi Sun, Songfeng Lu, Ting Luo, Dunbo Cai, Zhiguo Huang, Runqing Zhang.
ICASSP 2025.
CCF B
15
FedDiT: Federated Learning by Distillation Token Enhanced Vision Transformer
Jue Xiao, Zepu Yi, Hewang Nie, Zhi Lu, Xueming Tang, Songfeng Lu, Zhiguo Huang, Runqing Zhang.
ICASSP 2025.
CCF B
16
VSDA: Privacy-Preserving Verifiable Secure Distributed Aggregation for Multi-Center Clinical and Genomic Data
Zhe Dong, Zhi Lu, Renfei Shen, Hewang Nie, Jue Xiao, Junming Li, Songfeng Lu.
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025.
CCF B

2024

17
VeriChroma: Ownership Verification for Federated Models via RGB Filters
Hewang Nie, Songfeng Lu, Mu Wang, Jue Xiao, Zhi Lu, Zepu Yi.
Euro-Par 2024.
CCF B
18
Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning
Zhi Lu, Songfeng Lu, Yongquan Cui, Junjun Wu, Hewang Nie, Jue Xiao, Zepu Yi.
Euro-Par 2024.
CCF B

Patents & Software Copyrights

Patents

Songfeng Lu, Zhi Lu, Hewang Nie, Hao Yang. Industrial Control Data Security Protection System. CN118133298A (2024).
Songfeng Lu, Litian Zhou, Jianxin Zhu, Yong Luo, Hewang Nie. Log Audit Method for CNC Systems based on LSTM. CN116781321A (2023).
Songfeng Lu, Jue Xiao, Zhi Lu, Hewang Nie, Hao Yang. Stream Cipher Device for CNC Systems. CN116684076A (2023).

Software Copyrights

Hewang Nie, Zhenjun Tang, Xiaoping Liang. Compression-Resistant Federated Learning Model Watermarking System V1.0. No. 2025R11L2606607.
Hewang Nie, Zhenjun Tang, Lv Chen. Audio DNN Model Watermarking System Based on Boundary Sampling V1.0. No. 2025SR2186923.
Hewang Nie, Zhenjun Tang, Man Ling. License Plate Recognition Software V1.0 based on SVM. No. 2018SR219059.

Academic Exchanges

Nov 2025 (Haikou, China): The 6th CSIG Chinese Conference on Media Forensics and Security (ChinaMFS 2025).

Nov 2025 (Guilin, China): Workshop on New-Generation Image Security Technologies.

Aug 2024 (Madrid, Spain): Euro-Par 2024: 30th International European Conference on Parallel and Distributed Computing.

Oct 2019 (Xiamen, China): The 15th China Information Hiding and Multimedia Security Workshop (CIHW 2019).

Honors

Outstanding Graduating Ph.D. Student (2025)
National Scholarship for Doctoral Students (2023-2024)

Teaching & Supervision

Undergraduate Supervision:

Rui Gao (Class of 2019): Third Prize, LanQiao Cup (Guangxi Division).
Linrong Han (Class of 2019): Second Prize, LanQiao Cup (Guangxi Division).

Admission

We welcome motivated students interested in AI security, federated learning, and model watermarking to join our group. Diligent and proactive undergraduates are also welcome.

Master's Academic Programs: Computer Science and Technology; Software Engineering
Master's Professional Program: Electronic Information
Research Topics: Model IP protection, federated learning ownership verification, data / model watermarking, AI security evaluation
Preferred Background: Solid programming skills, preferably Python / PyTorch, and strong research motivation
Contact: Please email your CV, transcript, and representative achievements to nhw@gxnu.edu.cn