Dongjia Zhang’s research while affiliated with EURECOM and other places

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Publications (5)


On Understanding and Forecasting Fuzzers Performance with Static Analysis
  • Conference Paper

December 2024

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5 Reads

Dongjia Zhang

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Citations (2)


... In addition to basic mutations, recent researchers have developed complex transformations to maintain type consistency [3,15], adding historical bug-triggering code snippets [12,42], and coverage feedback [1,9] for improved testing efficiency. American Fuzzy Lop (AFL) [41] and its variations [5,9,20], employ genetic algorithms with a fitness function to prioritize fuzzing inputs for further mutations aimed at enhancing coverage, concentrating on byte-level changes. ...

Reference:

LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing
LIBAFL LIBFUZZER: LIBFUZZER on Top of LIBAFL
  • Citing Conference Paper
  • May 2023

... Implementation Verite is written from scratch with 10,106 lines of rust code and 822 lines of solidity code. We use the revm [6] as our EVM emulator and libafl [20] to build our fuzzer. There are roughly 300 lines of solidity code to define actions and 2,000 lines of Rust code to identify and do action-based mutation automatically. ...

LibAFL: A Framework to Build Modular and Reusable Fuzzers
  • Citing Conference Paper
  • November 2022