Cover Image

TEMPLATEFUZZ: Fine-Grained Chat Template Fuzzing for Jailbreaking and Red Teaming LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shen, Qingchao, Xiao, Zibo, Huang, Lili, Hu, Enwei, Tian, Yongqiang, Chen, Junjie
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Artificial Intelligence Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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)

Smart Contract Fuzzing Towards Profitable Vulnerabilities
by: Kong, Ziqiao, et al.
Published: (2025)

LLM-Assisted Model-Based Fuzzing of Protocol Implementations
by: Huang, Changze, et al.
Published: (2025)

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)

SAND: Decoupling Sanitization from Fuzzing for Low Overhead
by: Kong, Ziqiao, et al.
Published: (2024)

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

Compositional Jailbreaking: An Empirical Analysis of Mutator Chain Interactions in Aligned LLMs
by: Bugnot, Reinelle Jan, et al.
Published: (2026)

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

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

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

FuzzSlice: Pruning False Positives in Static Analysis Warnings Through Function-Level Fuzzing
by: Murali, Aniruddhan, et al.
Published: (2024)

LLM-Powered Detection of Price Manipulation in DeFi
by: Liu, Lu, et al.
Published: (2025)

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities
by: Ma, Yujie, et al.
Published: (2026)

DyMA-Fuzz: Dynamic Direct Memory Access Abstraction for Re-hosted Monolithic Firmware Fuzzing
by: Farrelly, Guy, et al.
Published: (2026)

Automatic, Expressive, and Scalable Fuzzing with Stitching
by: Green, Harrison, et al.
Published: (2026)

Mind the Gap: Evaluating LLMs for High-Level Malicious Package Detection vs. Fine-Grained Indicator Identification
by: Ryan, Ahmed, et al.
Published: (2026)

Quality-Assured Fuzz Harness Generation via the Four Principles Framework
by: Sheng, Ze, et al.
Published: (2026)

Triggering and Detecting Exploitable Library Vulnerability from the Client by Directed Greybox Fuzzing
by: Zhao, Yukai, et al.
Published: (2026)

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

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

Fixing Security Vulnerabilities with AI in OSS-Fuzz
by: Zhang, Yuntong, et al.
Published: (2024)

SoK: Prudent Evaluation Practices for Fuzzing
by: Schloegel, Moritz, et al.
Published: (2024)

INSTILLER: Towards Efficient and Realistic RTL Fuzzing
by: Zhang, Gen, et al.
Published: (2024)

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

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

Large Language Model assisted Hybrid Fuzzing
by: Meng, Ruijie, et al.
Published: (2024)

Crash Report Accumulation During Continuous Fuzzing
by: Yegorov, Ilya, et al.
Published: (2024)

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap
by: Huang, Feiyang, et al.
Published: (2026)

QUIC-Fuzz: An Effective Greybox Fuzzer For The QUIC Protocol
by: Ang, Kian Kai, et al.
Published: (2025)

PBFuzz: Agentic Directed Fuzzing for PoV Generation
by: Zeng, Haochen, et al.
Published: (2025)

FuzzingBrain V2: A Multi-Agent LLM System for Automated Vulnerability Discovery and Reproduction
by: Sheng, Ze, et al.
Published: (2026)

AFLGopher: Accelerating Directed Fuzzing via Feasibility-Aware Guidance
by: Bai, Weiheng, et al.
Published: (2025)

RandSet: Randomized Corpus Reduction for Fuzzing Seed Scheduling
by: Xie, Yuchong, et al.
Published: (2026)