:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Vaisnor, Chris
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	https://arxiv.org/abs/2404.04303
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

FuzzAgent: Multi-Agent System for Evolutionary Library Fuzzing
by: Lyu, Yunlong, 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)

XMutant: XAI-based Fuzzing for Deep Learning Systems
by: Chen, Xingcheng, et al.
Published: (2025)

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

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

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

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)

When High-Performance Computing Meets Software Testing: Distributed Fuzzing using MPI
by: Caliandro, Pierciro, et al.
Published: (2025)

Stateful Embedded Fuzzing with Peripheral-Accurate SystemC Virtual Prototypes
by: Ghinami, Chiara, et al.
Published: (2026)

WFC/WFD: Web Fuzzing Commons, Dataset and Guidelines to Support Experimentation in REST API Fuzzing
by: Sahin, Omur, et al.
Published: (2025)

Large-Scale Empirical Analysis of Continuous Fuzzing: Insights from 1 Million Fuzzing Sessions
by: Shirai, Tatsuya, et al.
Published: (2025)

PatchFuzz: Patch Fuzzing for JavaScript Engines
by: Wang, Junjie, et al.
Published: (2025)

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

Perception-Guided Fuzzing for Simulated Scenario-Based Testing of Autonomous Driving Systems
by: Pham, Tri Minh Triet, et al.
Published: (2024)

Fuzzing-based Mutation Testing of C/C++ Software in Cyber-Physical Systems
by: Lee, Jaekwon, et al.
Published: (2025)

FLARE: Agentic Coverage-Guided Fuzzing for LLM-Based Multi-Agent Systems
by: Hui, Mingxuan, et al.
Published: (2026)

Grey-Box Fuzzing in Constrained Ultra-Large Systems: Lessons for SE Community
by: Yu, Jiazhao, et al.
Published: (2025)

Leveraging SystemC-TLM-based Virtual Prototypes for Embedded Software Fuzzing
by: Ghinami, Chiara, et al.
Published: (2025)

Fuzzing Microservices in Face of Intrinsic Uncertainties
by: Zhang, Man, et al.
Published: (2026)

Program Feature-based Fuzzing Benchmarking
by: Miao, Miao
Published: (2025)

Fuzz4All: Universal Fuzzing with Large Language Models
by: Xia, Chunqiu Steven, et al.
Published: (2023)

Fuzzing Microservices: A Series of User Studies in Industry on Industrial Systems with EvoMaster
by: Zhang, Man, et al.
Published: (2022)

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

ZTaint-Havoc: From Havoc Mode to Zero-Execution Fuzzing-Driven Taint Inference
by: Xie, Yuchong, et al.
Published: (2025)

MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing
by: Zhang, Gen, et al.
Published: (2024)

FuzzBox: Blending Fuzzing into Emulation for Binary-Only Embedded Targets
by: Cesarano, Carmine, et al.
Published: (2025)

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

Uses of Active and Passive Learning in Stateful Fuzzing
by: Daniele, Cristian, et al.
Published: (2024)

MOTIF: A tool for Mutation Testing with Fuzzing
by: Lee, Jaekwon, et al.
Published: (2024)

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

Fuzzing MLIR Compilers with Custom Mutation Synthesis
by: Limpanukorn, Ben, et al.
Published: (2024)

Bug Histories as Sources of Compiler Fuzzing Mutators
by: Liu, Lingjun, et al.
Published: (2025)

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

Fuzzing Automatic Differentiation in Deep-Learning Libraries
by: Yang, Chenyuan, et al.
Published: (2023)

Detecting and Mitigating Flakiness in REST API Fuzzing
by: Zhang, Man, et al.
Published: (2026)

Online and Interactive Bayesian Inference Debugging
by: Nussbaumer, Nathanael, et al.
Published: (2025)

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