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authorQGrain <zhiyuzhang999@gmail.com>2025-06-30 22:39:50 +0800
committerAleksandr Nogikh <nogikh@google.com>2025-06-30 15:01:22 +0000
commit6e83b42dcfcd13c3b8e0d5c803cdcc424c0fbff9 (patch)
tree3a39f8bc3709f244f430f09ab3a0a5ccd9dd22a0 /docs
parent43d64aef21fc7bebebfbe0d8cf37c4102197dcae (diff)
docs/research.md: add reference to SyzGPT (ISSTA'25)
SyzGPT is the first LLM-assisted kernel fuzzing framework aiming at generating effective seeds (Syz-programs) for the rarely covered syscalls during kernel fuzzing. Refer to our repo for more details.
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Dear researchers, feel free to contact us at syzkaller@googlegroups.com if you need any assistance.
_newer first_
+* [Unlocking Low Frequency Syscalls in Kernel Fuzzing with Dependency-Based RAG](https://dl.acm.org/doi/abs/10.1145/3728913) ([pdf](https://dl.acm.org/doi/pdf/10.1145/3728913), [source code](https://github.com/QGrain/SyzGPT))
* [A Little Goes a Long Way: Tuning Configuration Selection for Continuous Kernel Fuzzing](https://www.computer.org/csdl/proceedings-article/icse/2025/056900a521/215aWUHqo9i)
* [SyzDirect: Directed Greybox Fuzzing for Linux Kernel](https://dl.acm.org/doi/abs/10.1145/3576915.3623146)
* [KIT: Testing OS-Level Virtualization for Functional Interference Bugs](https://doi.org/10.1145/3575693.3575731)