FuzzAug: Data Augmentation by Coverage-guided Fuzzing for Neural Test Generation
Fuente:
arXiv
Saved in:
| Main Authors: | He, Yifeng, Wang, Jicheng, Rong, Yuyang, Chen, Hao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing
by: Zhang, Hongxiang, et al.
Published: (2024)
by: Zhang, Hongxiang, et al.
Published: (2024)
FuzzWiz -- Fuzzing Framework for Efficient Hardware Coverage
by: Gadde, Deepak Narayan, et al.
Published: (2024)
by: Gadde, Deepak Narayan, et al.
Published: (2024)
Testing Storage-System Correctness: Challenges, Fuzzing Limitations, and AI-Augmented Opportunities
by: Wang, Ying, et al.
Published: (2026)
by: Wang, Ying, et al.
Published: (2026)
ToolFuzz -- Automated Agent Tool Testing
by: Milev, Ivan, et al.
Published: (2025)
by: Milev, Ivan, et al.
Published: (2025)
Code Generation by Differential Test Time Scaling
by: He, Yifeng, et al.
Published: (2026)
by: He, Yifeng, et al.
Published: (2026)
When Fuzzing Meets LLMs: Challenges and Opportunities
by: Jiang, Yu, et al.
Published: (2024)
by: Jiang, Yu, et al.
Published: (2024)
Towards Reliable LLM-Driven Fuzz Testing: Vision and Road Ahead
by: Cheng, Yiran, et al.
Published: (2025)
by: Cheng, Yiran, et al.
Published: (2025)
IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation
by: Rong, Yuyang, et al.
Published: (2024)
by: Rong, Yuyang, et al.
Published: (2024)
LLMs are All You Need? Improving Fuzz Testing for MOJO with Large Language Models
by: Huang, Linghan, et al.
Published: (2025)
by: Huang, Linghan, et al.
Published: (2025)
On the Challenges of Fuzzing Techniques via Large Language Models
by: Huang, Linghan, et al.
Published: (2024)
by: Huang, Linghan, et al.
Published: (2024)
HFuzzer: Testing Large Language Models for Package Hallucinations via Phrase-based Fuzzing
by: Zhao, Yukai, et al.
Published: (2025)
by: Zhao, Yukai, et al.
Published: (2025)
WuppieFuzz: Coverage-Guided, Stateful REST API Fuzzing
by: Rooijakkers, Thomas, et al.
Published: (2025)
by: Rooijakkers, Thomas, et al.
Published: (2025)
AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing
by: Nunez, Ana, et al.
Published: (2024)
by: Nunez, Ana, et al.
Published: (2024)
Prompt Fuzzing for Fuzz Driver Generation
by: Lyu, Yunlong, et al.
Published: (2023)
by: Lyu, Yunlong, et al.
Published: (2023)
Fuzzing: Randomness? Reasoning! Efficient Directed Fuzzing via Large Language Models
by: Feng, Xiaotao, et al.
Published: (2025)
by: Feng, Xiaotao, et al.
Published: (2025)
Locus: Agentic Predicate Synthesis for Directed Fuzzing
by: Zhu, Jie, et al.
Published: (2025)
by: Zhu, Jie, et al.
Published: (2025)
ORFuzz: Fuzzing the "Other Side" of LLM Safety -- Testing Over-Refusal
by: Zhang, Haonan, et al.
Published: (2025)
by: Zhang, Haonan, et al.
Published: (2025)
Causal Fuzzing for Verifying Machine Unlearning
by: Mazhar, Anna, et al.
Published: (2025)
by: Mazhar, Anna, et al.
Published: (2025)
RepoGenReflex: Enhancing Repository-Level Code Completion with Verbal Reinforcement and Retrieval-Augmented Generation
by: Wang, Jicheng, et al.
Published: (2024)
by: Wang, Jicheng, et al.
Published: (2024)
Attention Distance: A Novel Metric for Directed Fuzzing with Large Language Models
by: Bin, Wang, et al.
Published: (2025)
by: Bin, Wang, et al.
Published: (2025)
Python Fuzzing for Trustworthy Machine Learning Frameworks
by: Yegorov, Ilya, et al.
Published: (2024)
by: Yegorov, Ilya, et al.
Published: (2024)
R1-Fuzz: Specializing Language Models for Textual Fuzzing via Reinforcement Learning
by: Lin, Jiayi, et al.
Published: (2025)
by: Lin, Jiayi, et al.
Published: (2025)
Data-driven Test Generation for Fuzzing AI Compiler
by: Shen, Qingchao
Published: (2026)
by: Shen, Qingchao
Published: (2026)
SAFLITE: Fuzzing Autonomous Systems via Large Language Models
by: Zhu, Taohong, et al.
Published: (2024)
by: Zhu, Taohong, et al.
Published: (2024)
Once4All: Skeleton-Guided SMT Solver Fuzzing with LLM-Synthesized Generators
by: Sun, Maolin, et al.
Published: (2025)
by: Sun, Maolin, et al.
Published: (2025)
TEMPLATEFUZZ: Fine-Grained Chat Template Fuzzing for Jailbreaking and Red Teaming LLMs
by: Shen, Qingchao, et al.
Published: (2026)
by: Shen, Qingchao, et al.
Published: (2026)
APIRL: Deep Reinforcement Learning for REST API Fuzzing
by: Foley, Myles, et al.
Published: (2024)
by: Foley, Myles, et al.
Published: (2024)
LLMs and Fuzzing in Tandem: A New Approach to Automatically Generating Weakest Preconditions
by: King, Daragh, et al.
Published: (2025)
by: King, Daragh, et al.
Published: (2025)
FuzzTheREST: An Intelligent Automated Black-box RESTful API Fuzzer
by: Dias, Tiago, et al.
Published: (2024)
by: Dias, Tiago, et al.
Published: (2024)
KernelGPT: Enhanced Kernel Fuzzing via Large Language Models
by: Yang, Chenyuan, et al.
Published: (2023)
by: Yang, Chenyuan, et al.
Published: (2023)
Enhancing Fuzz Testing Efficiency through Automated Fuzz Target Generation
by: Tran, Chi Thien
Published: (2026)
by: Tran, Chi Thien
Published: (2026)
Evaluating the Effectiveness of Coverage-Guided Fuzzing for Testing Deep Learning Library APIs
by: Qin, Feiran, et al.
Published: (2025)
by: Qin, Feiran, et al.
Published: (2025)
UniTSyn: A Large-Scale Dataset Capable of Enhancing the Prowess of Large Language Models for Program Testing
by: He, Yifeng, et al.
Published: (2024)
by: He, Yifeng, et al.
Published: (2024)
FuzzRDUCC: Fuzzing with Reconstructed Def-Use Chain Coverage
by: Feng, Kai, et al.
Published: (2025)
by: Feng, Kai, et al.
Published: (2025)
Semantic-Aware Fuzzing: An Empirical Framework for LLM-Guided, Reasoning-Driven Input Mutation
by: Lu, Mengdi, et al.
Published: (2025)
by: Lu, Mengdi, et al.
Published: (2025)
GraphFuzz: Automated Testing of Graph Algorithm Implementations with Differential Fuzzing and Lightweight Feedback
by: Yan, Wenqi, et al.
Published: (2025)
by: Yan, Wenqi, et al.
Published: (2025)
TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability Code
by: Li, Siyuan, et al.
Published: (2024)
by: Li, Siyuan, et al.
Published: (2024)
MicroFuzz: An Efficient Fuzzing Framework for Microservices
by: Di, Peng, et al.
Published: (2024)
by: Di, Peng, et al.
Published: (2024)
Evolutionary Generative Fuzzing for Differential Testing of the Kotlin Compiler
by: Georgescu, Calin, et al.
Published: (2024)
by: Georgescu, Calin, et al.
Published: (2024)
FuzzAgent: Multi-Agent System for Evolutionary Library Fuzzing
by: Lyu, Yunlong, et al.
Published: (2026)
by: Lyu, Yunlong, et al.
Published: (2026)
Similar Items
-
LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing
by: Zhang, Hongxiang, et al.
Published: (2024) -
FuzzWiz -- Fuzzing Framework for Efficient Hardware Coverage
by: Gadde, Deepak Narayan, et al.
Published: (2024) -
Testing Storage-System Correctness: Challenges, Fuzzing Limitations, and AI-Augmented Opportunities
by: Wang, Ying, et al.
Published: (2026) -
ToolFuzz -- Automated Agent Tool Testing
by: Milev, Ivan, et al.
Published: (2025) -
Code Generation by Differential Test Time Scaling
by: He, Yifeng, et al.
Published: (2026)