We design a Machine learning-Enhanced hybrid fUZZing system (MEUZZ), which employs supervised machine learning for adaptive and generalizable seed scheduling.

MEUZZ determines which new seeds are expected to produce better fuzzing yields based on the knowledge learned from past seed scheduling decisions made on the ...

A Machine learning-Enhanced hybrid fUZZing system (MEUZZ), which employs supervised machine learning for adaptive and generalizable seed scheduling and ...

MEUZZ is a machine learning-based hybrid fuzzer which employs supervised machine learning for adaptive and generalizable seed scheduling.

Seed scheduling highly impacts the yields of hybrid fuzzing. Existing hybrid fuzzers schedule seeds based on fixed heuris- tics that aim to predict input ...

To see some examples on how to configure muse, please look at the examples directory. How to build Muse. Build with Docker.

Mar 2, 2020 · Yaohui Chen, Mansour Ahmadi, Reza Mirzazade Farkhani, Boyu Wang, Long Lu: MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing.

Methods. Add a Method ; MEUZZ · MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing. 2020, 1 ...

Reza Mirzazade farkhani. Linked Presentation: MEUZZ: Smart Seed Scheduling for Hybrid Fuzzing · Proceedings · Privacy Policy · Contact Us. © USENIX 2024.

Jul 22, 2020 · Seed scheduling highly impacts the yields of hybrid fuzzing. Existing hybrid fuzzers schedule seeds based on fixed heuris- tics that aim to ...