Image de couverture de livre

DeepGo: Predictive Directed Greybox Fuzzing

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lin, Peihong, Wang, Pengfei, Zhou, Xu, Xie, Wei, Zhang, Gen, Lu, Kai
Format:	Preprint
Publié:	2025
Sujets:	Software Engineering Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

QUIC-Fuzz: An Effective Greybox Fuzzer For The QUIC Protocol
par: Ang, Kian Kai, et autres
Publié: (2025)

MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing
par: Zhang, Gen, et autres
Publié: (2024)

On Interaction Effects in Greybox Fuzzing
par: Kitsios, Konstantinos, et autres
Publié: (2025)

Harnessing Large Language Models for Seed Generation in Greybox Fuzzing
par: Shi, Wenxuan, et autres
Publié: (2024)

Triggering and Detecting Exploitable Library Vulnerability from the Client by Directed Greybox Fuzzing
par: Zhao, Yukai, et autres
Publié: (2026)

Fuzz4All: Universal Fuzzing with Large Language Models
par: Xia, Chunqiu Steven, et autres
Publié: (2023)

Beyond Imprecise Distance Metrics: Trace-Guided Directed Greybox Fuzzing via LLM-Predicted Call Stacks
par: Zhang, Yifan, et autres
Publié: (2025)

INSTILLER: Towards Efficient and Realistic RTL Fuzzing
par: Zhang, Gen, et autres
Publié: (2024)

Peeling Off the Cocoon: Unveiling Suppressed Golden Seeds for Mutational Greybox Fuzzing
par: Qian, Ruixiang, et autres
Publié: (2026)

LLAMAFUZZ: Large Language Model Enhanced Greybox Fuzzing
par: Zhang, Hongxiang, et autres
Publié: (2024)

HyperGo: Probability-based Directed Hybrid Fuzzing
par: Lin, Peihong, et autres
Publié: (2023)

Scalable and Precise Patch Robustness Certification for Deep Learning Models with Top-k Predictions
par: Zhou, Qilin, et autres
Publié: (2025)

Fuzzwise: Intelligent Initial Corpus Generation for Fuzzing
par: Dhulipala, Hridya, et autres
Publié: (2025)

ExplainFuzz: Explainable and Constraint-Conditioned Test Generation with Probabilistic Circuits
par: Baiget, Annaëlle, et autres
Publié: (2026)

WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models
par: Yang, Chenyuan, et autres
Publié: (2023)

ChainFuzzer: Greybox Fuzzing for Workflow-Level Multi-Tool Vulnerabilities in LLM Agents
par: Wu, Jiangrong, et autres
Publié: (2026)

Bridging Expert Knowledge with Deep Learning Techniques for Just-In-Time Defect Prediction
par: Zhou, Xin, et autres
Publié: (2024)

Causal Fuzzing for Verifying Machine Unlearning
par: Mazhar, Anna, et autres
Publié: (2025)

RepDL: Bit-level Reproducible Deep Learning Training and Inference
par: Xie, Peichen, et autres
Publié: (2025)

Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT
par: Xia, Chunqiu Steven, et autres
Publié: (2023)

Next Edit Prediction: Learning to Predict Code Edits from Context and Interaction History
par: Lu, Ruofan, et autres
Publié: (2025)

ModelVerification.jl: a Comprehensive Toolbox for Formally Verifying Deep Neural Networks
par: Wei, Tianhao, et autres
Publié: (2024)

Investigating Reproducibility in Deep Learning-Based Software Fault Prediction
par: Mukhtar, Adil, et autres
Publié: (2024)

From Coverage to Causes: Data-Centric Fuzzing for JavaScript Engines
par: Ganguly, Kishan Kumar, et autres
Publié: (2025)

FuzzTheREST: An Intelligent Automated Black-box RESTful API Fuzzer
par: Dias, Tiago, et autres
Publié: (2024)

Inferring Data Preconditions from Deep Learning Models for Trustworthy Prediction in Deployment
par: Ahmed, Shibbir, et autres
Publié: (2024)

Towards Large Language Model Guided Kernel Direct Fuzzing
par: Li, Xie, et autres
Publié: (2025)

Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models
par: Wang, Haipeng, et autres
Publié: (2024)

An Effective Software Risk Prediction Management Analysis of Data Using Machine Learning and Data Mining Method
par: Xu, Jinxin, et autres
Publié: (2024)

S$^2$F: Principled Hybrid Testing With Fuzzing, Symbolic Execution, and Sampling
par: Wang, Lianjing, et autres
Publié: (2026)

Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction
par: Wang, Yuying, et autres
Publié: (2024)

Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns
par: Chen, Keyu, et autres
Publié: (2024)

deepSURF: Detecting Memory Safety Vulnerabilities in Rust Through Fuzzing LLM-Augmented Harnesses
par: Androutsopoulos, Georgios, et autres
Publié: (2025)

FairQuant: Certifying and Quantifying Fairness of Deep Neural Networks
par: Kim, Brian Hyeongseok, et autres
Publié: (2024)

Deep Smart Contract Intent Detection
par: Huang, Youwei, et autres
Publié: (2022)

Predicting Open Source Software Sustainability with Deep Temporal Neural Hierarchical Architectures and Explainable AI
par: Karim, S M Rakib Ul, et autres
Publié: (2026)

RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
par: Wang, Jiaxing, et autres
Publié: (2025)

A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction
par: Awais, Ch Muhammad, et autres
Publié: (2023)

A Comprehensive Study of Deep Learning Model Fixing Approaches
par: You, Hanmo, et autres
Publié: (2025)

500+ Times Faster Than Deep Learning (A Case Study Exploring Faster Methods for Text Mining StackOverflow)
par: Majumder, Suvodeep, et autres
Publié: (2018)