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Zuobin Xiong

Orcid: 0000-0002-6562-9825

According to our database¹, Zuobin Xiong authored at least 35 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Watch Your Step: Information Injection in Diffusion Models via Shadow Timestep Embedding.

[DOI]

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CoRR, May, 2026

GONE: Structural Knowledge Unlearning via Neighborhood-Expanded Distribution Shaping.

[DOI]

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Ashutosh Balasubramaniam

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CoRR, March, 2026

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

[DOI]

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CoRR, February, 2026

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

[DOI]

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CoRR, February, 2026

Distributed Generative Model: A Data Synthesizing Framework for Multisource Heterogeneous Data.

[DOI]

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IEEE Trans. Artif. Intell., January, 2026

Introduction to the Minitrack on AI-Powered Cyber Attacks and Countermeasures.

[DOI]

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Proceedings of the 59th Hawaii International Conference on System Sciences, 2026

2025

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

[DOI]

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IEEE Internet Things J., August, 2025

Fine-Grained Fashion Classification with Limited Labeled Data Via Generative Augmentation.

[DOI]

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Intell. Converged Networks, 2025

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

[DOI]

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Proceedings of the 40th ACM/SIGAPP Symposium on Applied Computing, 2025

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

[DOI]

Gabriel Chukwunonso Amaizu

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Akshita Maradapu Vera Venkata Sai

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Proceedings of the IEEE International Performance, 2025

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

[DOI]

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Proceedings of the 34th International Conference on Computer Communications and Networks, 2025

2024

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

[DOI]

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Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Appro-Fun: Approximate Machine Unlearning in Federated Setting.

[DOI]

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Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

2023

Personalized sampling graph collection with local differential privacy for link prediction.

[DOI]

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World Wide Web (WWW), September, 2023

Towards Neural Network-Based Communication System: Attack and Defense.

[DOI]

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IEEE Trans. Dependable Secur. Comput., 2023

DEFEAT: A decentralized federated learning against gradient attacks.

[DOI]

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High Confid. Comput., 2023

Backdoor Attack on 3D Grey Image Segmentation.

[DOI]

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Proceedings of the IEEE International Conference on Data Mining, 2023

Exact-Fun: An Exact and Efficient Federated Unlearning Approach.

[DOI]

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Proceedings of the IEEE International Conference on Data Mining, 2023

Sequence-Based Modeling for Temporal Knowledge Graph Link Prediction.

[DOI]

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Proceedings of the Artificial Neural Networks and Machine Learning, 2023

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

[DOI]

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Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

Federated Generative Model on Multi-Source Heterogeneous Data in IoT.

[DOI]

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

[DOI]

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IEEE Trans. Ind. Informatics, 2022

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

[DOI]

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IEEE Internet Things J., 2022

Generative Adversarial Networks: A Survey Toward Private and Secure Applications.

[DOI]

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ACM Comput. Surv., 2022

Decentralized Federated Learning: A Defense Against Gradient Inversion Attack.

[DOI]

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Proceedings of the Wireless Internet - 15th EAI International Conference, 2022

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

[DOI]

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Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

A Self-Supervised Purification Mechanism for Adversarial Samples.

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Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

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

[DOI]

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Proceedings of the IEEE Global Communications Conference, 2022

2021

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

[DOI]

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Wirel. Commun. Mob. Comput., 2021

Multi-Source Adversarial Sample Attack on Autonomous Vehicles.

[DOI]

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IEEE Trans. Veh. Technol., 2021

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

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IEEE Trans. Ind. Informatics, 2021

Generative Adversarial Networks: A Survey Towards Private and Secure Applications.

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CoRR, 2021

Gated recurrent unit-based parallel network traffic anomaly detection using subagging ensembles.

[DOI]

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Ad Hoc Networks, 2021

2019

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

[DOI]

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Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

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

[DOI]

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Secur. Commun. Networks, 2018

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