Xiaodong Zhang

Orcid: 0000-0002-8380-1019

Affiliations:
  • Xidian University, School of Computer Science and Technology, Xi'an, China
  • Xi'an Jiaotong University, Department of Computer Science and Technology, Key Lab for Intelligent Networks and Network Security, Xi'an, China (PhD 2018)


According to our database1, Xiaodong Zhang authored at least 18 papers between 2014 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
Measuring and Explaining the Effects of Android App Transformations in Online Malware Detection.
CoRR, July, 2025

Effectively Detecting Software Vulnerabilities via Leveraging Features on Program Slices.
IEEE Internet Things J., April, 2025

On-Demand Scenario Generation for Testing Automated Driving Systems.
Proc. ACM Softw. Eng., 2025

HazSim: An Urban Driving Simulator for Testing Perception Systems of ADSes Against Hazards.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

DPFuzzer: Discovering Safety Critical Vulnerabilities for Drone Path Planners.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

2024
LiTelFuzz : Swarms Fuzzing Based on Linear Temporal Logic Constraints.
CoRR, 2024

Detecting Vulnerabilities via Explicitly Leveraging Vulnerability Features on Program Slices.
Proceedings of the Theoretical Aspects of Software Engineering, 2024

Testing Object Detection Models For Autonomous Vehicles Against Hazards.
Proceedings of the International Conference on Networking and Network Applications, 2024

REDriver: Runtime Enforcement for Autonomous Vehicles.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2022
TraceDroid: A Robust Network Traffic Analysis Framework for Privacy Leakage in Android Apps.
Proceedings of the Science of Cyber Security - 4th International Conference, 2022

Feature Matching for Indoor-Oriented Visual Odometry.
Proceedings of the International Conference on Networking and Network Applications, 2022

Understanding Real-world Threats to Deep Learning Models in Android Apps.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2020
Tell You a Definite Answer: Whether Your Data is Tainted During Thread Scheduling.
IEEE Trans. Software Eng., 2020

2018
Debugging Multithreaded Programs as if They Were Sequential.
IEEE Access, 2018

2017
Automated Testing of Definition-Use Data Flow for Multithreaded Programs.
Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

2016
Debugging Multithreaded Programs as if They Were Sequential.
Proceedings of the International Conference on Software Analysis, Testing and Evolution, 2016

Frequent Subgraph Based Familial Classification of Android Malware.
Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

2014
Plagiarism detection for multithreaded software based on thread-aware software birthmarks.
Proceedings of the 22nd International Conference on Program Comprehension, 2014


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