Xiaogang Zhu

Orcid: 0000-0002-0647-4747

Affiliations:
  • University of Adelaide, School of Computer and Mathematical Sciences, Adelaide, Australia
  • Swinburne University of Technology, Department of Computer Science and Software Engineering, Melbourne, VIC, Australia (PhD 2021)


According to our database1, Xiaogang Zhu authored at least 32 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Systematic Analysis of MCP Security.
CoRR, August, 2025

Network Traffic Fingerprinting for IIoT Device Identification: A Survey.
IEEE Trans. Ind. Informatics, May, 2025

Exploring DeepSeek: A Survey on Advances, Applications, Challenges and Future Directions.
IEEE CAA J. Autom. Sinica, May, 2025

Blockchain Cross-Chain Bridge Security: Challenges, Solutions, and Future Outlook.
Distributed Ledger Technol. Res. Pract., March, 2025

When Software Security Meets Large Language Models: A Survey.
IEEE CAA J. Autom. Sinica, February, 2025

The Security of Using Large Language Models: A Survey with Emphasis on ChatGPT.
IEEE CAA J. Autom. Sinica, January, 2025

BazzAFL: Moving Fuzzing Campaigns Towards Bugs via Grouping Bug-Oriented Seeds.
IEEE Trans. Dependable Secur. Comput., 2025

One Mutation Fits All: Exploring Universal Library Fuzzing Based on Exogenous Mutation.
IEEE Trans. Dependable Secur. Comput., 2025

Codebreaker: Dynamic Extraction Attacks on Code Language Models.
Proceedings of the IEEE Symposium on Security and Privacy, 2025

Patch the Leak: Strengthening CodeLLMs Against Privacy Extraction Threats.
Proceedings of the 34th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2025

Your Fix Is My Exploit: Enabling Comprehensive DL Library API Fuzzing with Large Language Models.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Pager Explosion: Cybersecurity Insights and Afterthoughts.
IEEE CAA J. Autom. Sinica, December, 2024

Fuzzing Android Native System Libraries via Dynamic Data Dependency Graph.
IEEE Trans. Inf. Forensics Secur., 2024

How COVID-19 impacts telehealth: an empirical study of telehealth services, users and the use of metaverse.
Connect. Sci., 2024

ShapFuzz: Efficient Fuzzing via Shapley-Guided Byte Selection.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

SITransformer: Shared Information-Guided Transformer for Extreme Multimodal Summarization.
Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

2023
Detecting Vulnerability on IoT Device Firmware: A Survey.
IEEE CAA J. Autom. Sinica, 2023

On the security of fully homomorphic encryption for data privacy in Internet of Things.
Concurr. Comput. Pract. Exp., 2023

Detecting Union Type Confusion in Component Object Model.
Proceedings of the 32nd USENIX Security Symposium, 2023

2022
Fuzzing: A Survey for Roadmap.
ACM Comput. Surv., January, 2022

Vulnerability Detection in SIoT Applications: A Fuzzing Method on their Binaries.
IEEE Trans. Netw. Sci. Eng., 2022

CSI-Fuzz: Full-Speed Edge Tracing Using Coverage Sensitive Instrumentation.
IEEE Trans. Dependable Secur. Comput., 2022

Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Synthesized Corpora to Evaluate Fuzzing for Green Internet of Things Programs.
IEEE Trans. Green Commun. Netw., 2021

Fuzzing With Optimized Grammar-Aware Mutation Strategies.
IEEE Access, 2021

Regression Greybox Fuzzing.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
DeFuzz: Deep Learning Guided Directed Fuzzing.
CoRR, 2020

SpeedNeuzz: Speed Up Neural Program Approximation with Neighbor Edge Knowledge.
Proceedings of the 19th IEEE International Conference on Trust, 2020

2019
Bug Searching in Smart Contract.
CoRR, 2019

A Feature-Oriented Corpus for Understanding, Evaluating and Improving Fuzz Testing.
Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019


  Loading...