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We stand with Ukraine

Fangtian Zhong

Orcid: 0000-0002-1125-7472

According to our database¹, Fangtian Zhong authored at least 21 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

on orcid.org

On csauthors.net:

Bibliography

2026

Semantic Validation of Packer Identification Tools: Characterization, Repair, and Downstream Impact.

[DOI]

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CoRR, May, 2026

Detecting Call Graph Unsoundness without Ground Truth.

[DOI]

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Joseph Windmann

CoRR, April, 2026

SwiftBot: A Decentralized Platform for LLM-Powered Federated Robotic Task Execution.

[DOI]

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CoRR, March, 2026

BatchMDS: A Time-Efficient Misbehavior Detection System in Internet of Vehicles.

[DOI]

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IEEE Internet Things J., 2026

2025

Feature-Oriented IoT Malware Analysis: Extraction, Classification, and Future Directions.

[DOI]

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CoRR, September, 2025

Software Vulnerability Analysis Across Programming Language and Program Representation Landscapes: A Survey.

[DOI]

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CoRR, March, 2025

Detecting Backdoor Attacks via Similarity in Semantic Communication Systems.

[DOI]

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CoRR, February, 2025

Unveiling Malware Patterns: A Self-analysis Perspective.

[DOI]

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CoRR, January, 2025

Unveiling Malware Visual Patterns: A Self-Analysis Perspective.

[DOI]

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IEEE Trans. Inf. Forensics Secur., 2025

Feature-Centric Approaches to Android Malware Analysis: A Survey.

[DOI]

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Comput., 2025

2024

MalFox: Camouflaged Adversarial Malware Example Generation Based on Conv-GANs Against Black-Box Detectors.

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IEEE Trans. Computers, April, 2024

Enhancing Malware Classification via Self-Similarity Techniques.

[DOI]

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IEEE Trans. Inf. Forensics Secur., 2024

Upcycling Noise for Federated Unlearning.

[DOI]

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CoRR, 2024

Semi-supervised Federated Learning for Misbehavior Detection of BSMs in Vehicular Networks.

[DOI]

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Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

2023

Malware-on-the-Brain: Illuminating Malware Byte Codes With Images for Malware Classification.

[DOI]

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IEEE Trans. Computers, February, 2023

An Efficient Revocable and Searchable MA-ABE Scheme With Blockchain Assistance for C-IoT.

[DOI]

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IEEE Internet Things J., February, 2023

2022

Reinforcement learning based adversarial malware example generation against black-box detectors.

[DOI]

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Comput. Secur., 2022

EdgeViT: Efficient Visual Modeling for Edge Computing.

[DOI]

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Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

2021

DCAP: Deep Cross Attentional Product Network for User Response Prediction.

[DOI]

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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

FlowGuard: An Intelligent Edge Defense Mechanism Against IoT DDoS Attacks.

[DOI]

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IEEE Internet Things J., 2020

MalFox: Camouflaged Adversarial Malware Example Generation Based on C-GANs Against Black-Box Detectors.

[DOI]

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CoRR, 2020

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