Xiaogang Zhu

Orcid: 0000-0002-0647-4747

Affiliations:
  • Swinburne University of Technology, Department of Computer Science and Software Engineering, Melbourne, VIC, Australia


According to our database1, Xiaogang Zhu authored at least 27 papers between 2019 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Joint Data Offloading and Energy-Efficient Secure MEC Resource Allocation Method for IoT Device Data in RAN Communication.
IEEE Trans. Green Commun. Netw., September, 2024

A Novel Fake News Detection Model for Context of Mixed Languages Through Multiscale Transformer.
IEEE Trans. Comput. Soc. Syst., August, 2024

A Low-Latency Edge Computation Offloading Scheme for Trust Evaluation in Finance-Level Artificial Intelligence of Things.
IEEE Internet Things J., January, 2024

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

A Deep-Learning-Based Data-Management Scheme for Intelligent Control of Wastewater Treatment Processes Under Resource-Constrained IoT Systems.
IEEE Internet Things J., 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

TMFD: Two-Stage Meta-learning Feature Disentanglement Framework for DeepFake Detection.
Proceedings of the IEEE International Joint Conference on Biometrics, 2024

QRNN-Transformer: Recognizing Textual Entailment.
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

CGD-Net: A Hybrid End-to-end Network with gating decoding for Liver Tumor Segmentation from CT Images.
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

2023
Smart industrial IoT empowered crowd sensing for safety monitoring in coal mine.
Digit. Commun. Networks, April, 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

Securing Radio Resources Allocation With Deep Reinforcement Learning for IoE Services in Next-Generation Wireless Networks.
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


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