:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Rong, Yuyang, Yu, Zhanghan, Weng, Zhenkai, Neuendorffer, Stephen, Chen, Hao
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2402.05256
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FuzzAug: Data Augmentation by Coverage-guided Fuzzing for Neural Test Generation
by: He, Yifeng, et al.
Published: (2024)

LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing
by: Zhang, Hongxiang, et al.
Published: (2024)

Implementing and Executing Static Analysis Using LLVM and CodeChecker
by: Horvath, Gabor, et al.
Published: (2024)

Prompt Fuzzing for Fuzz Driver Generation
by: Lyu, Yunlong, et al.
Published: (2023)

Constraint Decay: The Fragility of LLM Agents in Backend Code Generation
by: Dente, Francesco, et al.
Published: (2026)

TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability Code
by: Li, Siyuan, et al.
Published: (2024)

OSS-Bench: Benchmark Generator for Coding LLMs
by: Jiang, Yuancheng, et al.
Published: (2025)

FuzzAgent: Multi-Agent System for Evolutionary Library Fuzzing
by: Lyu, Yunlong, et al.
Published: (2026)

Synergy-Guided Compiler Auto-Tuning of Nested LLVM Pass Pipelines
by: Pan, Haolin, et al.
Published: (2025)

Fuzzwise: Intelligent Initial Corpus Generation for Fuzzing
by: Dhulipala, Hridya, et al.
Published: (2025)

Enhancing Code Review through Fuzzing and Likely Invariants
by: Charoenwet, Wachiraphan, et al.
Published: (2025)

MoCo: Fuzzing Deep Learning Libraries via Assembling Code
by: Ji, Pin, et al.
Published: (2024)

A Differential Fuzzing-Based Evaluation of Functional Equivalence in LLM-Generated Code Refactorings
by: Dristi, Simantika Bhattacharjee, et al.
Published: (2026)

SAFuzz: Semantic-Guided Adaptive Fuzzing for LLM-Generated Code
by: Yang, Ziyi, et al.
Published: (2026)

A Practical Guideline and Taxonomy to LLVM's Control Flow Integrity
by: Houy, Sabine, et al.
Published: (2025)

CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph
by: Xu, Hanxiang, et al.
Published: (2024)

MicroFuzz: An Efficient Fuzzing Framework for Microservices
by: Di, Peng, et al.
Published: (2024)

ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development
by: Yang, Jie, et al.
Published: (2026)

Following Dragons: Code Review-Guided Fuzzing
by: Luu, Viet Hoang, et al.
Published: (2026)

MirrorFuzz: Leveraging LLM and Shared Bugs for Deep Learning Framework APIs Fuzzing
by: Ou, Shiwen, et al.
Published: (2025)

An LLVM-Based Optimization Pipeline for SPDZ
by: Dai, Tianye, et al.
Published: (2025)

Fuzzing with Agents? Generators Are All You Need
by: Vikram, Vasudev, et al.
Published: (2026)

Fuzz Smarter, Not Harder: Towards Greener Fuzzing with GreenAFL
by: Ercevik, Ayse Irmak, et al.
Published: (2025)

WuppieFuzz: Coverage-Guided, Stateful REST API Fuzzing
by: Rooijakkers, Thomas, et al.
Published: (2025)

BandFuzz: An ML-powered Collaborative Fuzzing Framework
by: Shi, Wenxuan, et al.
Published: (2025)

Enhancing Fuzz Testing Efficiency through Automated Fuzz Target Generation
by: Tran, Chi Thien
Published: (2026)

Evolutionary Generative Fuzzing for Differential Testing of the Kotlin Compiler
by: Georgescu, Calin, et al.
Published: (2024)

Data-driven Test Generation for Fuzzing AI Compiler
by: Shen, Qingchao
Published: (2026)

SolAgent: A Specialized Multi-Agent Framework for Solidity Code Generation
by: Chen, Wei, et al.
Published: (2026)

Retrofitting Control Flow Graphs in LLVM IR for Auto Vectorization
by: Fang, Shihan, et al.
Published: (2025)

Program Environment Fuzzing
by: Meng, Ruijie, et al.
Published: (2024)

D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning
by: Zou, Muqi, et al.
Published: (2025)

Towards Automated Formal Verification of Backend Systems with LLMs
by: Xu, Kangping, et al.
Published: (2025)

Efficiency, Expressivity, and Extensibility in a Close-to-Metal NPU Programming Interface
by: Hunhoff, Erika, et al.
Published: (2025)

FuzzySQL: Uncovering Hidden Vulnerabilities in DBMS Special Features with LLM-Driven Fuzzing
by: Chen, Yongxin, et al.
Published: (2026)

R1-Fuzz: Specializing Language Models for Textual Fuzzing via Reinforcement Learning
by: Lin, Jiayi, et al.
Published: (2025)

BiFuzz: A Two-Stage Fuzzing Tool for Open-World Video Games
by: Kato, Yusaku, et al.
Published: (2025)

GraphFuzz: Automated Testing of Graph Algorithm Implementations with Differential Fuzzing and Lightweight Feedback
by: Yan, Wenqi, et al.
Published: (2025)

SimADFuzz: Simulation-Feedback Fuzz Testing for Autonomous Driving Systems
by: Yang, Huiwen, et al.
Published: (2024)

Selecting Initial Seeds for Better JVM Fuzzing
by: Gao, Tianchang, et al.
Published: (2024)