University of Minnesota
Security and Privacy in Computing
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Readings on: fuzzing and vulnerability finding

Candidate main reading: Marcel Böhme, Van-Thuan Pham, Manh-Dung Nguyen, and Abhik Roychoudhury. “Directed Greybox Fuzzing”. In ACM Conference on Computer and Communications Security (CCS), Pages 2329–2344, October 2017.
[ACM DL]

Main reading for Tuesday, April 9th: Ahmad Hazimeh, Adrian Herrera, and Mathias Payer. “Magma: A Ground-Truth Fuzzing Benchmark”. In Proceedings of the ACM on Measurement and Analysis of Computing Systems, Volume 4, Issue 3, Article No.: 49, November 2020.
[ACM DL]

Candidate main reading: Luca Di Bartolomeo, Hossein Moghaddas, and Mathias Payer. “ARMore: Pushing Love Back Into Binaries”. In USENIX Security Symposium, August 2023.
[USENIX]

Candidate main reading: Chenyuan Yang, Zijie Zhao, and Lingming Zhang. “KernelGPT: Enhanced Kernel Fuzzing via Large Language Models”. arXiv preprint, December 2023.
[arXiv]