36 publicaitons. For the latest publication list, please refer to Google Scholar.

2026

ER-MIA: Black-Box Adversarial Memory Injection Attacks on Long-Term Memory-Augmented Large Language Models
ER-MIA: Black-Box Adversarial Memory Injection Attacks on Long-Term Memory-Augmented Large Language Models

Mitchell Piehl, Zhaohan Xi, Zuobin Xiong, Pan He, Muchao Ye

arXiv preprint arXiv:2602.15344 2026

[Paper]

ER-MIA: Black-Box Adversarial Memory Injection Attacks on Long-Term Memory-Augmented Large Language Models

Mitchell Piehl, Zhaohan Xi, Zuobin Xiong, Pan He, Muchao Ye

arXiv preprint arXiv:2602.15344 2026

[Paper]

REMinD: Balancing Robust Concept Unlearning and Image Quality in Diffusion Models
REMinD: Balancing Robust Concept Unlearning and Image Quality in Diffusion Models

An Huang, Junggab Son, Zuobin Xiong

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026

[Paper] [Code]

REMinD: Balancing Robust Concept Unlearning and Image Quality in Diffusion Models

An Huang, Junggab Son, Zuobin Xiong

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2026

[Paper] [Code]

Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks
Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks

Suprim Nakarmi, Junggab Son, Yue Zhao, Zuobin Xiong

arXiv preprint arXiv:2602.00407 2026

[Paper] [Code]

Fed-Listing: Federated Label Distribution Inference in Graph Neural Networks

Suprim Nakarmi, Junggab Son, Yue Zhao, Zuobin Xiong

arXiv preprint arXiv:2602.00407 2026

[Paper] [Code]

2025

Fine-Grained Fashion Classification with Limited Labeled Data via Generative Augmentation
Fine-Grained Fashion Classification with Limited Labeled Data via Generative Augmentation

Hongbi Jeong, Zuobin Xiong, Haram Kang, Kyungtae Kang, Junggab Son

Intelligent and Converged Networks 2025

[Paper]

Fine-Grained Fashion Classification with Limited Labeled Data via Generative Augmentation

Hongbi Jeong, Zuobin Xiong, Haram Kang, Kyungtae Kang, Junggab Son

Intelligent and Converged Networks 2025

[Paper]

Trusted Medical AI: Blockchain-Backed Device Authentication With Digital Twin-Enhanced XAI for Lung Cancer Detection
Trusted Medical AI: Blockchain-Backed Device Authentication With Digital Twin-Enhanced XAI for Lung Cancer Detection

Gabriel Chukwunonso Amaizu, Akshita Maradapu Vera Venkata Sai, Zuobin Xiong, Yingshu Li

2025 IEEE International Performance, Computing, and Communications Conference (IPCCC) 2025

[Paper]

Trusted Medical AI: Blockchain-Backed Device Authentication With Digital Twin-Enhanced XAI for Lung Cancer Detection

Gabriel Chukwunonso Amaizu, Akshita Maradapu Vera Venkata Sai, Zuobin Xiong, Yingshu Li

2025 IEEE International Performance, Computing, and Communications Conference (IPCCC) 2025

[Paper]

How Well Do LLMs Unlearn Facts? - A Knowledge Graph Perspective
How Well Do LLMs Unlearn Facts? - A Knowledge Graph Perspective

Chahana Dahal, Zuobin Xiong

Women in Machine Learning Workshop @ NeurIPS 2025 2025

[Paper]

How Well Do LLMs Unlearn Facts? - A Knowledge Graph Perspective

Chahana Dahal, Zuobin Xiong

Women in Machine Learning Workshop @ NeurIPS 2025 2025

[Paper]

It is Hard to Unlearn Dogged Backdoor Samples in Diffusion Models
It is Hard to Unlearn Dogged Backdoor Samples in Diffusion Models
NeurIPS 2025

An Huang, Zuobin Xiong, Muchao Ye, Junggab Son

NeurIPS 2025 Workshop: Reliable ML from Unreliable Data 2025

[Paper] [Code]

It is Hard to Unlearn Dogged Backdoor Samples in Diffusion Models

An Huang, Zuobin Xiong, Muchao Ye, Junggab Son

NeurIPS 2025 Workshop: Reliable ML from Unreliable Data 2025

[Paper] [Code]

Distributed Generative Model: A Data Synthesizing Framework for Multi-Source Heterogeneous Data
Distributed Generative Model: A Data Synthesizing Framework for Multi-Source Heterogeneous Data

Zuobin Xiong, Wei Li, Yingshu Li, Zhipeng Cai

IEEE Transactions on Artificial Intelligence 2025

[Paper]

Distributed Generative Model: A Data Synthesizing Framework for Multi-Source Heterogeneous Data

Zuobin Xiong, Wei Li, Yingshu Li, Zhipeng Cai

IEEE Transactions on Artificial Intelligence 2025

[Paper]

A Survey of Machine Unlearning in Generative AI Models: Methods, Applications, Security, and Challenges
A Survey of Machine Unlearning in Generative AI Models: Methods, Applications, Security, and Challenges
IoT-J 2025

An Huang, Zhipeng Cai, Zuobin Xiong

IEEE Internet of Things Journal 2025

[Paper]

A Survey of Machine Unlearning in Generative AI Models: Methods, Applications, Security, and Challenges

An Huang, Zhipeng Cai, Zuobin Xiong

IEEE Internet of Things Journal 2025

[Paper]

Efficient Phishing Website Detection via HTML Tag Sequence Analysis Using Encoder Models
Efficient Phishing Website Detection via HTML Tag Sequence Analysis Using Encoder Models

Jemin Ahn, Zuobin Xiong, Homook Cho, Kyungtae Kang, Junggab Son

2025 International Conference on Computer Communications and Networks (ICCCN) 2025

[Paper]

Efficient Phishing Website Detection via HTML Tag Sequence Analysis Using Encoder Models

Jemin Ahn, Zuobin Xiong, Homook Cho, Kyungtae Kang, Junggab Son

2025 International Conference on Computer Communications and Networks (ICCCN) 2025

[Paper]

Long Short-Term Memory-Based Computerized Numerical Control Machining Center Failure Prediction Model
Long Short-Term Memory-Based Computerized Numerical Control Machining Center Failure Prediction Model

Jintak Choi, Zuobin Xiong, Kyungtae Kang

Mathematics 2025

[Paper]

Long Short-Term Memory-Based Computerized Numerical Control Machining Center Failure Prediction Model

Jintak Choi, Zuobin Xiong, Kyungtae Kang

Mathematics 2025

[Paper]

2024

Understanding Illicit Promotional Contents on Short Video Platforms
Understanding Illicit Promotional Contents on Short Video Platforms

Lu Zhang, Sungbin Park, Zuobin Xiong, Junggab Son, Yeonjoon Lee

Tsinghua Science and Technology 2024

[Paper]

Understanding Illicit Promotional Contents on Short Video Platforms

Lu Zhang, Sungbin Park, Zuobin Xiong, Junggab Son, Yeonjoon Lee

Tsinghua Science and Technology 2024

[Paper]

DDSNet: A Lightweight Dense Depthwise Separable Network for Tumor Classification
DDSNet: A Lightweight Dense Depthwise Separable Network for Tumor Classification

An Huang, Junggab Son, Zuobin Xiong

The 40th ACM/SIGAPP Symposium on Applied Computing (SAC) 2024

[Paper]

DDSNet: A Lightweight Dense Depthwise Separable Network for Tumor Classification

An Huang, Junggab Son, Zuobin Xiong

The 40th ACM/SIGAPP Symposium on Applied Computing (SAC) 2024

[Paper]

FCFL: A Fairness Compensation-Based Federated Learning Scheme with Accumulated Queues
FCFL: A Fairness Compensation-Based Federated Learning Scheme with Accumulated Queues

Lingfu Wang, Zuobin Xiong, Guangchun Luo, Wei Li, Aiguo Chen

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) 2024

[Paper]

FCFL: A Fairness Compensation-Based Federated Learning Scheme with Accumulated Queues

Lingfu Wang, Zuobin Xiong, Guangchun Luo, Wei Li, Aiguo Chen

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD) 2024

[Paper]

Appro-Fun: Approximate Machine Unlearning in Federated Setting
Appro-Fun: Approximate Machine Unlearning in Federated Setting
IC3N 2024

Zuobin Xiong, Wei Li, Zhipeng Cai

2024 International Conference on Computer Communications and Networks (ICCCN) 2024

[Paper]

Appro-Fun: Approximate Machine Unlearning in Federated Setting

Zuobin Xiong, Wei Li, Zhipeng Cai

2024 International Conference on Computer Communications and Networks (ICCCN) 2024

[Paper]

2023

PV-PATE: An Improved PATE for Deep Learning with Differential Privacy in Trusted Industrial Data Matrix
PV-PATE: An Improved PATE for Deep Learning with Differential Privacy in Trusted Industrial Data Matrix

Hongyu Hu, Qilong Han, Zhiqiang Ma, Yukun Yan, Zuobin Xiong, Linyu Jiang, Yuemin Zhang

The 7th APWeb-WAIM International Joint Conference on Web and Big Data 2023

[Paper]

PV-PATE: An Improved PATE for Deep Learning with Differential Privacy in Trusted Industrial Data Matrix

Hongyu Hu, Qilong Han, Zhiqiang Ma, Yukun Yan, Zuobin Xiong, Linyu Jiang, Yuemin Zhang

The 7th APWeb-WAIM International Joint Conference on Web and Big Data 2023

[Paper]

Exact-Fun: An Exact and Efficient Federated Unlearning Approach
Exact-Fun: An Exact and Efficient Federated Unlearning Approach
ICDM 2023

Zuobin Xiong, Wei Li, Yingshu Li, Zhipeng Cai

2023 IEEE International Conference on Data Mining (ICDM) 2023

[Paper]

Exact-Fun: An Exact and Efficient Federated Unlearning Approach

Zuobin Xiong, Wei Li, Yingshu Li, Zhipeng Cai

2023 IEEE International Conference on Data Mining (ICDM) 2023

[Paper]

Backdoor Attack on 3D Grey Image Segmentation
Backdoor Attack on 3D Grey Image Segmentation

Honghui Xu, Zhipeng Cai, Zuobin Xiong, Wei Li

2023 IEEE International Conference on Data Mining (ICDM) 2023

[Paper]

Backdoor Attack on 3D Grey Image Segmentation

Honghui Xu, Zhipeng Cai, Zuobin Xiong, Wei Li

2023 IEEE International Conference on Data Mining (ICDM) 2023

[Paper]

DEFEAT: A Decentralized Federated Learning Against Gradient Attacks
DEFEAT: A Decentralized Federated Learning Against Gradient Attacks

Guangxi Lu, Zuobin Xiong, Ruinian Li, Nael Mohammad, Yingshu Li, Wei Li

High-Confidence Computing 2023

[Paper]

DEFEAT: A Decentralized Federated Learning Against Gradient Attacks

Guangxi Lu, Zuobin Xiong, Ruinian Li, Nael Mohammad, Yingshu Li, Wei Li

High-Confidence Computing 2023

[Paper]

Personalized Sampling Graph Collection with Local Differential Privacy for Link Prediction
Personalized Sampling Graph Collection with Local Differential Privacy for Link Prediction

Linyu Jiang, Yukun Yan, Zhihong Tian, Zuobin Xiong, Qilong Han

World Wide Web 2023

[Paper]

Personalized Sampling Graph Collection with Local Differential Privacy for Link Prediction

Linyu Jiang, Yukun Yan, Zhihong Tian, Zuobin Xiong, Qilong Han

World Wide Web 2023

[Paper]

Federated Generative Model on Multi-Source Heterogeneous Data in IoT
Federated Generative Model on Multi-Source Heterogeneous Data in IoT
AAAI 2023

Zuobin Xiong, Wei Li, Zhipeng Cai

The 37th AAAI Conference on Artificial Intelligence (AAAI) 2023

[Paper]

Federated Generative Model on Multi-Source Heterogeneous Data in IoT

Zuobin Xiong, Wei Li, Zhipeng Cai

The 37th AAAI Conference on Artificial Intelligence (AAAI) 2023

[Paper]

Sequence-Based Modeling for Temporal Knowledge Graph Link Prediction
Sequence-Based Modeling for Temporal Knowledge Graph Link Prediction

Lijie Li, Wenqiang Liu, Zuobin Xiong, Ye Wang

International Conference on Artificial Neural Networks (ICANN) 2023

[Paper]

Sequence-Based Modeling for Temporal Knowledge Graph Link Prediction

Lijie Li, Wenqiang Liu, Zuobin Xiong, Ye Wang

International Conference on Artificial Neural Networks (ICANN) 2023

[Paper]

2022

Decentralized Federated Learning: A Defense Against Gradient Inversion Attack
Decentralized Federated Learning: A Defense Against Gradient Inversion Attack

Guangxi Lu, Zuobin Xiong, Ruinian Li, Wei Li

Wireless Internet 15th EAI International Conference (WiCON 2022) 2022

[Paper]

Decentralized Federated Learning: A Defense Against Gradient Inversion Attack

Guangxi Lu, Zuobin Xiong, Ruinian Li, Wei Li

Wireless Internet 15th EAI International Conference (WiCON 2022) 2022

[Paper]

Towards Neural Network-Based Communication System: Attack and Defense
Towards Neural Network-Based Communication System: Attack and Defense
TDSC 2022

Zuobin Xiong, Zhipeng Cai, Chunqiang Hu, Daniel Takabi, Wei Li

IEEE Transactions on Dependable and Secure Computing 2022

[Paper]

Towards Neural Network-Based Communication System: Attack and Defense

Zuobin Xiong, Zhipeng Cai, Chunqiang Hu, Daniel Takabi, Wei Li

IEEE Transactions on Dependable and Secure Computing 2022

[Paper]

Pairwise Gaussian Graph Convolutional Networks: Defense Against Graph Adversarial Attack
Pairwise Gaussian Graph Convolutional Networks: Defense Against Graph Adversarial Attack

Guangxi Lu, Zuobin Xiong, Jing Meng, Wei Li

IEEE Global Communications Conference (GLOBECOM) 2022

[Paper]

Pairwise Gaussian Graph Convolutional Networks: Defense Against Graph Adversarial Attack

Guangxi Lu, Zuobin Xiong, Jing Meng, Wei Li

IEEE Global Communications Conference (GLOBECOM) 2022

[Paper]

A Self-Supervised Purification Mechanism for Adversarial Samples
A Self-Supervised Purification Mechanism for Adversarial Samples

Bingyi Xie, Honghui Xu, Zuobin Xiong, Yingshu Li, Zhipeng Cai

IEEE SmartData 2022 Best Paper

[Paper]

A Self-Supervised Purification Mechanism for Adversarial Samples

Bingyi Xie, Honghui Xu, Zuobin Xiong, Yingshu Li, Zhipeng Cai

IEEE SmartData 2022 Best Paper

[Paper]

Exp-SoftLexicon Lattice Model Integrating Radical-Level Features for Chinese NER
Exp-SoftLexicon Lattice Model Integrating Radical-Level Features for Chinese NER

Lijie Li, Shuangyang Hu, Junhao Chen, Ye Wang, Zuobin Xiong

The 34th International Conference on Software Engineering & Knowledge Engineering (SEKE) 2022

[Paper]

Exp-SoftLexicon Lattice Model Integrating Radical-Level Features for Chinese NER

Lijie Li, Shuangyang Hu, Junhao Chen, Ye Wang, Zuobin Xiong

The 34th International Conference on Software Engineering & Knowledge Engineering (SEKE) 2022

[Paper]

2021

Generative Adversarial Networks: A Survey Toward Private and Secure Applications
Generative Adversarial Networks: A Survey Toward Private and Secure Applications
CSUR 2021

Zhipeng Cai#, Zuobin Xiong*, Honghui Xu*, Peng Wang*, Wei Li, Yi Pan (* equal contribution, # corresponding author)

ACM Computing Surveys 2021

[Paper]

Generative Adversarial Networks: A Survey Toward Private and Secure Applications

Zhipeng Cai#, Zuobin Xiong*, Honghui Xu*, Peng Wang*, Wei Li, Yi Pan (* equal contribution, # corresponding author)

ACM Computing Surveys 2021

[Paper]

Top-k Socially Constrained Spatial Keyword Search in Large SIoT Networks
Top-k Socially Constrained Spatial Keyword Search in Large SIoT Networks

Jinbao Wang, Zuobin Xiong, Qilong Han, Xixian Han, Donghua Yang

IEEE Internet of Things Journal 2021

[Paper]

Top-k Socially Constrained Spatial Keyword Search in Large SIoT Networks

Jinbao Wang, Zuobin Xiong, Qilong Han, Xixian Han, Donghua Yang

IEEE Internet of Things Journal 2021

[Paper]

Privacy Threat and Defense for Federated Learning With Non-i.i.d. Data in AIoT
Privacy Threat and Defense for Federated Learning With Non-i.i.d. Data in AIoT

Zuobin Xiong, Zhipeng Cai, Daniel Takabi, Wei Li

IEEE Transactions on Industrial Informatics 2021

[Paper]

Privacy Threat and Defense for Federated Learning With Non-i.i.d. Data in AIoT

Zuobin Xiong, Zhipeng Cai, Daniel Takabi, Wei Li

IEEE Transactions on Industrial Informatics 2021

[Paper]

Multi-Source Adversarial Sample Attack on Autonomous Vehicles
Multi-Source Adversarial Sample Attack on Autonomous Vehicles

Zuobin Xiong, Honghui Xu, Wei Li, Zhipeng Cai

IEEE Transactions on Vehicular Technology 2021

[Paper]

Multi-Source Adversarial Sample Attack on Autonomous Vehicles

Zuobin Xiong, Honghui Xu, Wei Li, Zhipeng Cai

IEEE Transactions on Vehicular Technology 2021

[Paper]

Gated Recurrent Unit-Based Parallel Network Traffic Anomaly Detection Using Subagging Ensembles
Gated Recurrent Unit-Based Parallel Network Traffic Anomaly Detection Using Subagging Ensembles

Xiaoling Tao, Yang Peng, Feng Zhao, Changsong Yang, Baohua Qiang, Yufeng Wang, Zuobin Xiong

Ad Hoc Networks 2021

[Paper]

Gated Recurrent Unit-Based Parallel Network Traffic Anomaly Detection Using Subagging Ensembles

Xiaoling Tao, Yang Peng, Feng Zhao, Changsong Yang, Baohua Qiang, Yufeng Wang, Zuobin Xiong

Ad Hoc Networks 2021

[Paper]

CGPP-POI: A Recommendation Model Based on Privacy Protection
CGPP-POI: A Recommendation Model Based on Privacy Protection

Gesu Li, Guisheng Yin, Zuobin Xiong, Fukun Chen

Wireless Communications and Mobile Computing 2021

[Paper]

CGPP-POI: A Recommendation Model Based on Privacy Protection

Gesu Li, Guisheng Yin, Zuobin Xiong, Fukun Chen

Wireless Communications and Mobile Computing 2021

[Paper]

2020

ADGAN: Protect Your Location Privacy in Camera Data of Auto-Driving Vehicles
ADGAN: Protect Your Location Privacy in Camera Data of Auto-Driving Vehicles

Zuobin Xiong, Zhipeng Cai, Qilong Han, Arwa Alrawais, Wei Li

IEEE Transactions on Industrial Informatics 2020

[Paper]

ADGAN: Protect Your Location Privacy in Camera Data of Auto-Driving Vehicles

Zuobin Xiong, Zhipeng Cai, Qilong Han, Arwa Alrawais, Wei Li

IEEE Transactions on Industrial Informatics 2020

[Paper]

2019

Privacy-Preserving Auto-Driving: A GAN-Based Approach to Protect Vehicular Camera Data
Privacy-Preserving Auto-Driving: A GAN-Based Approach to Protect Vehicular Camera Data

Zuobin Xiong, Wei Li, Qilong Han, Zhipeng Cai

2019 IEEE International Conference on Data Mining (ICDM) 2019

[Paper]

Privacy-Preserving Auto-Driving: A GAN-Based Approach to Protect Vehicular Camera Data

Zuobin Xiong, Wei Li, Qilong Han, Zhipeng Cai

2019 IEEE International Conference on Data Mining (ICDM) 2019

[Paper]

2018

Research on Trajectory Data Releasing Method via Differential Privacy Based on Spatial Partition
Research on Trajectory Data Releasing Method via Differential Privacy Based on Spatial Partition

Qilong Han, Zuobin Xiong, Kejia Zhang, others

Security and Communication Networks 2018

[Paper]

Research on Trajectory Data Releasing Method via Differential Privacy Based on Spatial Partition

Qilong Han, Zuobin Xiong, Kejia Zhang, others

Security and Communication Networks 2018

[Paper]