Zheng Zhang

Orcid: 0009-0005-1587-8822

Affiliations:
  • University of California, Riverside, CA, USA


According to our database1, Zheng Zhang authored at least 12 papers between 2018 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 csauthors.net:

Bibliography

2026
LLMBisect: Breaking Barriers in Bug Bisection with A Comparative Analysis Pipeline.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

What Do They Fix? LLM-Aided Categorization of Security Patches for Critical Memory Bugs.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2024
SymBisect: Accurate Bisection for Fuzzer-Exposed Vulnerabilities.
Proceedings of the 33rd USENIX Security Symposium, 2024

SyzGen++: Dependency Inference for Augmenting Kernel Driver Fuzzing.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

SyzBridge: Bridging the Gap in Exploitability Assessment of Linux Kernel Bugs in the Linux Ecosystem.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

An Investigation of Patch Porting Practices of the Linux Kernel Ecosystem.
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

2022
Progressive Scrutiny: Incremental Detection of UBI bugs in the Linux Kernel.
Proceedings of the 29th Annual Network and Distributed System Security Symposium, 2022

2021
An Investigation of the Android Kernel Patch Ecosystem.
Proceedings of the 30th USENIX Security Symposium, 2021

SyzVegas: Beating Kernel Fuzzing Odds with Reinforcement Learning.
Proceedings of the 30th USENIX Security Symposium, 2021

SyzGen: Automated Generation of Syscall Specification of Closed-Source macOS Drivers.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Eluding ML-based Adblockers With Actionable Adversarial Examples.
Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2018
Charm: Facilitating Dynamic Analysis of Device Drivers of Mobile Systems.
Proceedings of the 27th USENIX Security Symposium, 2018


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