Locus: Agentic Predicate Synthesis for Directed Fuzzing
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Jie, Shen, Chihao, Li, Ziyang, Yu, Jiahao, Chen, Yizheng, Pei, Kexin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fuzzing: Randomness? Reasoning! Efficient Directed Fuzzing via Large Language Models
by: Feng, Xiaotao, et al.
Published: (2025)
by: Feng, Xiaotao, et al.
Published: (2025)
TEMPLATEFUZZ: Fine-Grained Chat Template Fuzzing for Jailbreaking and Red Teaming LLMs
by: Shen, Qingchao, et al.
Published: (2026)
by: Shen, Qingchao, et al.
Published: (2026)
LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing
by: Zhang, Hongxiang, et al.
Published: (2024)
by: Zhang, Hongxiang, et al.
Published: (2024)
Python Fuzzing for Trustworthy Machine Learning Frameworks
by: Yegorov, Ilya, et al.
Published: (2024)
by: Yegorov, Ilya, et al.
Published: (2024)
PBFuzz: Agentic Directed Fuzzing for PoV Generation
by: Zeng, Haochen, et al.
Published: (2025)
by: Zeng, Haochen, et al.
Published: (2025)
Testing Storage-System Correctness: Challenges, Fuzzing Limitations, and AI-Augmented Opportunities
by: Wang, Ying, et al.
Published: (2026)
by: Wang, Ying, et al.
Published: (2026)
Towards Agentic Runtime Healing
by: Sun, Zhensu, et al.
Published: (2024)
by: Sun, Zhensu, et al.
Published: (2024)
BandFuzz: An ML-powered Collaborative Fuzzing Framework
by: Shi, Wenxuan, et al.
Published: (2025)
by: Shi, Wenxuan, et al.
Published: (2025)
KernelGPT: Enhanced Kernel Fuzzing via Large Language Models
by: Yang, Chenyuan, et al.
Published: (2023)
by: Yang, Chenyuan, et al.
Published: (2023)
Semantic-Aware Fuzzing: An Empirical Framework for LLM-Guided, Reasoning-Driven Input Mutation
by: Lu, Mengdi, et al.
Published: (2025)
by: Lu, Mengdi, et al.
Published: (2025)
Agentic Fuzzing: Opportunities and Challenges
by: Park, Junyoung, et al.
Published: (2026)
by: Park, Junyoung, et al.
Published: (2026)
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)
Constrained Decoding for Secure Code Generation
by: Fu, Yanjun, et al.
Published: (2024)
by: Fu, Yanjun, et al.
Published: (2024)
SBOMs into Agentic AIBOMs: Schema Extensions, Agentic Orchestration, and Reproducibility Evaluation
by: Radanliev, Petar, et al.
Published: (2026)
by: Radanliev, Petar, et al.
Published: (2026)
Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
by: Kong, Ziqiao, et al.
Published: (2026)
by: Kong, Ziqiao, et al.
Published: (2026)
Detecting Privilege Escalation in Polyglot Microservices via Agentic Program Analysis
by: Li, Penghui, et al.
Published: (2026)
by: Li, Penghui, et al.
Published: (2026)
Clawed and Dangerous: Can We Trust Open Agentic Systems?
by: Chen, Shiping, et al.
Published: (2026)
by: Chen, Shiping, et al.
Published: (2026)
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing
by: Weissberg, Felix, et al.
Published: (2025)
by: Weissberg, Felix, et al.
Published: (2025)
PoCo: Agentic Proof-of-Concept Exploit Generation for Smart Contracts
by: Andersson, Vivi, et al.
Published: (2025)
by: Andersson, Vivi, et al.
Published: (2025)
CyberRAG: An Agentic RAG cyber attack classification and reporting tool
by: Blefari, Francesco, et al.
Published: (2025)
by: Blefari, Francesco, et al.
Published: (2025)
Comment and Control: Hijacking Agentic Workflows via Context-Grounded Evolution
by: Fendley, Neil, et al.
Published: (2026)
by: Fendley, Neil, et al.
Published: (2026)
Prompt Fuzzing for Fuzz Driver Generation
by: Lyu, Yunlong, et al.
Published: (2023)
by: Lyu, Yunlong, et al.
Published: (2023)
FuzzAgent: Multi-Agent System for Evolutionary Library Fuzzing
by: Lyu, Yunlong, et al.
Published: (2026)
by: Lyu, Yunlong, 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)
Unveiling the Landscape of LLM Deployment in the Wild: An Empirical Study
by: Hou, Xinyi, et al.
Published: (2025)
by: Hou, Xinyi, et al.
Published: (2025)
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment
by: Zhu, Jie, et al.
Published: (2024)
by: Zhu, Jie, et al.
Published: (2024)
DyMA-Fuzz: Dynamic Direct Memory Access Abstraction for Re-hosted Monolithic Firmware Fuzzing
by: Farrelly, Guy, et al.
Published: (2026)
by: Farrelly, Guy, et al.
Published: (2026)
Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation
by: Yu, Lei, et al.
Published: (2024)
by: Yu, Lei, et al.
Published: (2024)
An Empirical Study on the Distance Metric in Guiding Directed Grey-box Fuzzing
by: Wen, Tingke, et al.
Published: (2024)
by: Wen, Tingke, et al.
Published: (2024)
Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detection
by: Chen, Jie, et al.
Published: (2025)
by: Chen, Jie, et al.
Published: (2025)
Agentic Specification Generator for Move Programs
by: Fu, Yu-Fu, et al.
Published: (2025)
by: Fu, Yu-Fu, et al.
Published: (2025)
Inverting the Shield: Systematically Generating Safety Tests from Policy Specifications
by: Lu, Xiaoyue, et al.
Published: (2026)
by: Lu, Xiaoyue, et al.
Published: (2026)
AFLGopher: Accelerating Directed Fuzzing via Feasibility-Aware Guidance
by: Bai, Weiheng, et al.
Published: (2025)
by: Bai, Weiheng, et al.
Published: (2025)
SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection
by: Yu, Lei, et al.
Published: (2025)
by: Yu, Lei, et al.
Published: (2025)
ContraFix: Agentic Vulnerability Repair via Differential Runtime Evidence and Skill Reuse
by: Liu, Simiao, et al.
Published: (2026)
by: Liu, Simiao, et al.
Published: (2026)
Numeric Truncation Security Predicate
by: Mezhuev, Timofey, et al.
Published: (2023)
by: Mezhuev, Timofey, et al.
Published: (2023)
VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models
by: Liu, Yu, et al.
Published: (2024)
by: Liu, Yu, et al.
Published: (2024)
Automatically Generating Rules of Malicious Software Packages via Large Language Model
by: Zhang, XiangRui, et al.
Published: (2025)
by: Zhang, XiangRui, et al.
Published: (2025)
Real Money, Fake Models: Deceptive Model Claims in Shadow APIs
by: Zhang, Yage, et al.
Published: (2026)
by: Zhang, Yage, et al.
Published: (2026)
Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks
by: Chu, Junjie, et al.
Published: (2026)
by: Chu, Junjie, et al.
Published: (2026)
Similar Items
-
Fuzzing: Randomness? Reasoning! Efficient Directed Fuzzing via Large Language Models
by: Feng, Xiaotao, et al.
Published: (2025) -
TEMPLATEFUZZ: Fine-Grained Chat Template Fuzzing for Jailbreaking and Red Teaming LLMs
by: Shen, Qingchao, et al.
Published: (2026) -
LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing
by: Zhang, Hongxiang, et al.
Published: (2024) -
Python Fuzzing for Trustworthy Machine Learning Frameworks
by: Yegorov, Ilya, et al.
Published: (2024) -
PBFuzz: Agentic Directed Fuzzing for PoV Generation
by: Zeng, Haochen, et al.
Published: (2025)