LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing
Authors: Hongxiang Zhang, Yuyang Rong, Yifeng He, Hao Chen | Published: 2024-06-11 | Updated: 2024-06-13
ファジング
Fuzzing BusyBox: Leveraging LLM and Crash Reuse for Embedded Bug Unearthing
Authors: Asmita, Yaroslav Oliinyk, Michael Scott, Ryan Tsang, Chongzhou Fang, Houman Homayoun | Published: 2024-03-06
CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation
Authors: Jueon Eom, Seyeon Jeong, Taekyoung Kwon | Published: 2024-02-19
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
Authors: Lu Yan, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Xuan Chen, Guangyu Shen, Xiangyu Zhang | Published: 2023-08-04 | Updated: 2023-10-27
ConFL: Constraint-guided Fuzzing for Machine Learning Framework
Authors: Zhao Liu, Quanchen Zou, Tian Yu, Xuan Wang, Guozhu Meng, Kai Chen, Deyue Zhang | Published: 2023-07-11
Augmenting Greybox Fuzzing with Generative AI
Authors: Jie Hu, Qian Zhang, Heng Yin | Published: 2023-06-11
Optimizing seed inputs in fuzzing with machine learning
Authors: Liang Cheng, Yang Zhang, Yi Zhang, Chen Wu, Zhangtan Li, Yu Fu, Haisheng Li | Published: 2019-02-07
Recurrent Neural Networks for Fuzz Testing Web Browsers
Authors: Martin Sablotny, Bjørn Sand Jensen, Chris W. Johnson | Published: 2018-12-12