Saved in:
| Main Authors: | Yang, Chenyuan, Deng, Yinlin, Yao, Jiayi, Tu, Yuxing, Li, Hanchi, Zhang, Lingming |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2302.04351 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models
by: Yang, Chenyuan, et al.
Published: (2023)
by: Yang, Chenyuan, et al.
Published: (2023)
KernelGPT: Enhanced Kernel Fuzzing via Large Language Models
by: Yang, Chenyuan, et al.
Published: (2023)
by: Yang, Chenyuan, et al.
Published: (2023)
Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM
by: Xia, Chunqiu Steven, et al.
Published: (2024)
by: Xia, Chunqiu Steven, et al.
Published: (2024)
Agentless: Demystifying LLM-based Software Engineering Agents
by: Xia, Chunqiu Steven, et al.
Published: (2024)
by: Xia, Chunqiu Steven, et al.
Published: (2024)
Fuzz4All: Universal Fuzzing with Large Language Models
by: Xia, Chunqiu Steven, et al.
Published: (2023)
by: Xia, Chunqiu Steven, et al.
Published: (2023)
KNighter: Transforming Static Analysis with LLM-Synthesized Checkers
by: Yang, Chenyuan, et al.
Published: (2025)
by: Yang, Chenyuan, et al.
Published: (2025)
MoCo: Fuzzing Deep Learning Libraries via Assembling Code
by: Ji, Pin, et al.
Published: (2024)
by: Ji, Pin, et al.
Published: (2024)
AnyPoC: Universal Proof-of-Concept Test Generation for Scalable LLM-Based Bug Detection
by: Zhao, Zijie, et al.
Published: (2026)
by: Zhao, Zijie, et al.
Published: (2026)
Less Training, More Repairing Please: Revisiting Automated Program Repair via Zero-shot Learning
by: Xia, Chunqiu Steven, et al.
Published: (2022)
by: Xia, Chunqiu Steven, et al.
Published: (2022)
TESTEVAL: Benchmarking Large Language Models for Test Case Generation
by: Wang, Wenhan, et al.
Published: (2024)
by: Wang, Wenhan, et al.
Published: (2024)
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)
The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries
by: Li, Zhiyuan, et al.
Published: (2024)
by: Li, Zhiyuan, et al.
Published: (2024)
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)
XMutant: XAI-based Fuzzing for Deep Learning Systems
by: Chen, Xingcheng, et al.
Published: (2025)
by: Chen, Xingcheng, et al.
Published: (2025)
LLM-Powered Silent Bug Fuzzing in Deep Learning Libraries via Versatile and Controlled Bug Transfer
by: Zhang, Kunpeng, et al.
Published: (2026)
by: Zhang, Kunpeng, et al.
Published: (2026)
Automatic, Expressive, and Scalable Fuzzing with Stitching
by: Green, Harrison, et al.
Published: (2026)
by: Green, Harrison, et al.
Published: (2026)
MirrorFuzz: Leveraging LLM and Shared Bugs for Deep Learning Framework APIs Fuzzing
by: Ou, Shiwen, et al.
Published: (2025)
by: Ou, Shiwen, et al.
Published: (2025)
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)
Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models
by: Wang, Haipeng, et al.
Published: (2024)
by: Wang, Haipeng, et al.
Published: (2024)
HarnessAgent: Scaling Automatic Fuzzing Harness Construction with Tool-Augmented LLM Pipelines
by: Yang, Kang, et al.
Published: (2025)
by: Yang, Kang, et al.
Published: (2025)
Evolutionary Generative Fuzzing for Differential Testing of the Kotlin Compiler
by: Georgescu, Calin, et al.
Published: (2024)
by: Georgescu, Calin, et al.
Published: (2024)
Practical Program Repair in the Era of Large Pre-trained Language Models
by: Xia, Chunqiu Steven, et al.
Published: (2022)
by: Xia, Chunqiu Steven, et al.
Published: (2022)
Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT
by: Xia, Chunqiu Steven, et al.
Published: (2023)
by: Xia, Chunqiu Steven, et al.
Published: (2023)
Risk Estimation in Differential Fuzzing via Extreme Value Theory
by: Baez, Rafael, et al.
Published: (2025)
by: Baez, Rafael, 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)
BASFuzz: Towards Robustness Evaluation of LLM-based NLP Software via Automated Fuzz Testing
by: Xiao, Mingxuan, et al.
Published: (2025)
by: Xiao, Mingxuan, et al.
Published: (2025)
FuzzAgent: Multi-Agent System for Evolutionary Library Fuzzing
by: Lyu, Yunlong, et al.
Published: (2026)
by: Lyu, Yunlong, et al.
Published: (2026)
Harnessing LLMs for Document-Guided Fuzzing of OpenCV Library
by: Duan, Bin, et al.
Published: (2025)
by: Duan, Bin, et al.
Published: (2025)
May the Feedback Be with You! Unlocking the Power of Feedback-Driven Deep Learning Framework Fuzzing via LLMs
by: Yang, Shaoyu, et al.
Published: (2025)
by: Yang, Shaoyu, et al.
Published: (2025)
DocTer: Documentation Guided Fuzzing for Testing Deep Learning API Functions
by: Xie, Danning, et al.
Published: (2021)
by: Xie, Danning, et al.
Published: (2021)
Grey-Box Fuzzing in Constrained Ultra-Large Systems: Lessons for SE Community
by: Yu, Jiazhao, et al.
Published: (2025)
by: Yu, Jiazhao, et al.
Published: (2025)
MicroFuzz: An Efficient Fuzzing Framework for Microservices
by: Di, Peng, et al.
Published: (2024)
by: Di, Peng, et al.
Published: (2024)
SWE-Replay: Efficient Test-Time Scaling for Software Engineering Agents
by: Ding, Yifeng, et al.
Published: (2026)
by: Ding, Yifeng, et al.
Published: (2026)
DEFT: Differentiable Automatic Test Pattern Generation
by: Li, Wei, et al.
Published: (2025)
by: Li, Wei, et al.
Published: (2025)
DeepGo: Predictive Directed Greybox Fuzzing
by: Lin, Peihong, et al.
Published: (2025)
by: Lin, Peihong, et al.
Published: (2025)
Mut4All: Fuzzing Compilers via LLM-Synthesized Mutators Learned from Bug Reports
by: Wang, Bo, et al.
Published: (2025)
by: Wang, Bo, et al.
Published: (2025)
WFC/WFD: Web Fuzzing Commons, Dataset and Guidelines to Support Experimentation in REST API Fuzzing
by: Sahin, Omur, et al.
Published: (2025)
by: Sahin, Omur, et al.
Published: (2025)
Fuzz Smarter, Not Harder: Towards Greener Fuzzing with GreenAFL
by: Ercevik, Ayse Irmak, et al.
Published: (2025)
by: Ercevik, Ayse Irmak, 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)
Prompt-Enhanced Software Vulnerability Detection Using ChatGPT
by: Zhang, Chenyuan, et al.
Published: (2023)
by: Zhang, Chenyuan, et al.
Published: (2023)
Similar Items
-
WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models
by: Yang, Chenyuan, et al.
Published: (2023) -
KernelGPT: Enhanced Kernel Fuzzing via Large Language Models
by: Yang, Chenyuan, et al.
Published: (2023) -
Top Leaderboard Ranking = Top Coding Proficiency, Always? EvoEval: Evolving Coding Benchmarks via LLM
by: Xia, Chunqiu Steven, et al.
Published: (2024) -
Agentless: Demystifying LLM-based Software Engineering Agents
by: Xia, Chunqiu Steven, et al.
Published: (2024) -
Fuzz4All: Universal Fuzzing with Large Language Models
by: Xia, Chunqiu Steven, et al.
Published: (2023)