:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Singh, Saurabh, Han, Ruobing, Lee, Jaewon, Na, Seonjin, Kim, Yonghae, Kim, Taesoo, Kim, Hyesoon
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security
Online Access:	https://arxiv.org/abs/2601.01048
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

zkFuzz: Foundation and Framework for Effective Fuzzing of Zero-Knowledge Circuits
by: Takahashi, Hideaki, et al.
Published: (2025)

Hunting CUDA Bugs at Scale with cuFuzz
by: ziad, Mohamed Tarek Ibn, et al.
Published: (2026)

GoldenFuzz: Generative Golden Reference Hardware Fuzzing
by: Wu, Lichao, et al.
Published: (2025)

Challenges and Design Considerations for Finding CUDA Bugs Through GPU-Native Fuzzing
by: Li, Mingkai, et al.
Published: (2026)

Fuzz on the Beach: Fuzzing Solana Smart Contracts
by: Smolka, Sven, et al.
Published: (2023)

WhisperFuzz: White-Box Fuzzing for Detecting and Locating Timing Vulnerabilities in Processors
by: Borkar, Pallavi, et al.
Published: (2024)

EmbedFuzz: High Speed Fuzzing Through Transplantation
by: Hofhammer, Florian, et al.
Published: (2024)

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

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

G-Fuzz: A Directed Fuzzing Framework for gVisor
by: Li, Yuwei, et al.
Published: (2024)

ReFuzz: Reusing Tests for Processor Fuzzing with Contextual Bandits
by: Chen, Chen, et al.
Published: (2025)

Comment on Revisiting Neural Program Smoothing for Fuzzing
by: She, Dongdong, et al.
Published: (2024)

NecoFuzz: Effective Fuzzing of Nested Virtualization via Fuzz-Harness Virtual Machines
by: Ishii, Reima, et al.
Published: (2025)

LibAFL-DiFuzz: Advanced Architecture Enabling Directed Fuzzing
by: Parygina, Darya, et al.
Published: (2024)

FunFuzz: An LLM-Powered Evolutionary Fuzzing Framework
by: Béjar, Mario Rodríguez, et al.
Published: (2026)

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)

FuzzSense: Towards A Modular Fuzzing Framework for Autonomous Driving Software
by: Roberts, Andrew, et al.
Published: (2025)

E-FuzzEdge: Optimizing Embedded Device Security with Scalable In-Place Fuzzing
by: Rusconi, Davide, et al.
Published: (2025)

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

SynFuzz: Leveraging Fuzzing of Netlist to Detect Synthesis Bugs
by: Saravanan, Raghul, et al.
Published: (2025)

Qualcomm Trusted Application Emulation for Fuzzing Testing
by: Fan, Chun-I, et al.
Published: (2025)

Hybrid Approach to Directed Fuzzing
by: Parygina, Darya, et al.
Published: (2025)

Ambusher: Exploring the Security of Distributed SDN Controllers Through Protocol State Fuzzing
by: Kim, Jinwoo, et al.
Published: (2025)

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

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

SemFuzz: A Semantics-Aware Fuzzing Framework for Network Protocol Implementations
by: Sun, Yanbang, et al.
Published: (2026)

SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing
by: Weissberg, Felix, et al.
Published: (2025)

LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models
by: Shou, Chaofan, et al.
Published: (2024)

Fuzzing at Scale: The Untold Story of the Scheduler
by: Nikolic, Ivica, et al.
Published: (2024)

Prime+Retouch: When Cache is Locked and Leaked
by: Lee, Jaehyuk, et al.
Published: (2024)

FuzzLLM: A Novel and Universal Fuzzing Framework for Proactively Discovering Jailbreak Vulnerabilities in Large Language Models
by: Yao, Dongyu, et al.
Published: (2023)

SimFuzz: Similarity-guided Block-level Mutation for RISC-V Processor Fuzzing
by: Lyu, Hao, et al.
Published: (2026)

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

Agentic Fuzzing: Opportunities and Challenges
by: Park, Junyoung, et al.
Published: (2026)

Is Stateful Fuzzing Really Challenging?
by: Daniele, Cristian
Published: (2024)

ROSA: Finding Backdoors with Fuzzing
by: Kokkonis, Dimitri, et al.
Published: (2025)

Stop Starving or Stuffing Me: Boosting Firmware Fuzzing Efficiency with On-demand Input Delivery
by: Shen, Shandian, et al.
Published: (2026)

APFuzz: Towards Automatic Greybox Protocol Fuzzing
by: Wang, Yu, et al.
Published: (2026)

Multi-target Coverage-based Greybox Fuzzing
by: Ichikawa, Masami
Published: (2026)