Fuzzing

AGENTFUZZER: Generic Black-Box Fuzzing for Indirect Prompt Injection against LLM Agents

Authors: Zhun Wang, Vincent Siu, Zhe Ye, Tianneng Shi, Yuzhou Nie, Xuandong Zhao, Chenguang Wang, Wenbo Guo, Dawn Song | Published: 2025-05-09 | Updated: 2025-05-21
Indirect Prompt Injection
Fuzzing
Attack Type

LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing

Authors: Hongxiang Zhang, Yuyang Rong, Yifeng He, Hao Chen | Published: 2024-06-11 | Updated: 2024-06-13
LLM Performance Evaluation
Fuzzing
Prompt Injection

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
LLM Security
Fuzzing
Initial Seed Generation

CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation

Authors: Jueon Eom, Seyeon Jeong, Taekyoung Kwon | Published: 2024-02-19
Fuzzing
Reinforcement Learning
Evaluation Method

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
Fuzzing
Poisoning
Physical layer security

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
Algorithm Design
Fuzzing
Performance Evaluation

Augmenting Greybox Fuzzing with Generative AI

Authors: Jie Hu, Qian Zhang, Heng Yin | Published: 2023-06-11
Fuzzing
Prompt Injection
Performance Evaluation

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
Fuzzing
Initial Seed Generation

Recurrent Neural Networks for Fuzz Testing Web Browsers

Authors: Martin Sablotny, Bjørn Sand Jensen, Chris W. Johnson | Published: 2018-12-12
Fuzzing
Deep Learning Model
Generative Adversarial Network