Cover Image

XMutant: XAI-based Fuzzing for Deep Learning Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Xingcheng, Biagiola, Matteo, Riccio, Vincenzo, d'Amorim, Marcelo, Stocco, Andrea
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Benchmarking Generative AI Models for Deep Learning Test Input Generation
by: Maryam, et al.
Published: (2024)

Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing
by: Biagiola, Matteo, et al.
Published: (2023)

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

Evaluating the Effectiveness of Coverage-Guided Fuzzing for Testing Deep Learning Library APIs
by: Qin, Feiran, et al.
Published: (2025)

Misbehavior Forecasting for Focused Autonomous Driving Systems Testing
by: Naziri, M M Abid, et al.
Published: (2025)

Targeted Deep Learning System Boundary Testing
by: Weißl, Oliver, et al.
Published: (2024)

Feature-Aware Test Generation for Deep Learning Models
by: Chen, Xingcheng, et al.
Published: (2026)

Simulator Ensembles for Trustworthy Autonomous Driving Testing
by: Sorokin, Lev, et al.
Published: (2025)

Towards Automated Page Object Generation for Web Testing using Large Language Models
by: Karagöz, Betül, et al.
Published: (2026)

Improving Deep Learning Library Testing with Machine Learning
by: Molina, Facundo, et al.
Published: (2026)

Testing Deep Learning Libraries via Neurosymbolic Constraint Learning
by: Naziri, M M Abid, et al.
Published: (2026)

Configuration Defects in Kubernetes
by: Zhang, Yue, et al.
Published: (2025)

A Case Study of LLM for Automated Vulnerability Repair: Assessing Impact of Reasoning and Patch Validation Feedback
by: Kulsum, Ummay, et al.
Published: (2024)

Just another copy and paste? Comparing the security vulnerabilities of ChatGPT generated code and StackOverflow answers
by: Hamer, Sivana, et al.
Published: (2024)

Neural Embeddings for Web Testing
by: Kanaththage, Kasun, et al.
Published: (2023)

HyperNet-Adaptation for Diffusion-Based Test Case Generation
by: Weißl, Oliver, et al.
Published: (2026)

A Generic and Efficient Python Runtime Verification System and its Large-scale Evaluation
by: Shen, Zhuohang, et al.
Published: (2025)

Code Quality Analysis of Translations from C to Rust
by: Tadesse, Biruk, et al.
Published: (2026)

Boundary State Generation for Testing and Improvement of Autonomous Driving Systems
by: Biagiola, Matteo, et al.
Published: (2023)

Testing of Deep Reinforcement Learning Agents with Surrogate Models
by: Biagiola, Matteo, et al.
Published: (2023)

Improving the Readability of Automatically Generated Tests using Large Language Models
by: Biagiola, Matteo, et al.
Published: (2024)

Adaptive Random Testing with Q-grams: The Illusion Comes True
by: Biagiola, Matteo, et al.
Published: (2024)

muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults
by: Thomas, Deepak-George, et al.
Published: (2024)

Agentic LMs: Hunting Down Test Smells
by: Melo, Rian, et al.
Published: (2025)

The Effects of Computational Resources on Flaky Tests
by: Silva, Denini, et al.
Published: (2023)

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

Web Element Relocalization in Evolving Web Applications: A Comparative Analysis and Extension Study
by: Kluge, Anton, et al.
Published: (2025)

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

MoCo: Fuzzing Deep Learning Libraries via Assembling Code
by: Ji, Pin, et al.
Published: (2024)

Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models
by: Wang, Haipeng, et al.
Published: (2024)

Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing
by: Lambertenghi, Stefano Carlo, et al.
Published: (2024)

Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
by: Giamattei, Luca, et al.
Published: (2024)

Coverage-Guided Road Selection and Prioritization for Efficient Testing in Autonomous Driving Systems
by: Ali, Qurban, et al.
Published: (2026)

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

May the Feedback Be with You! Unlocking the Power of Feedback-Driven Deep Learning Framework Fuzzing via LLMs
by: Yang, Shaoyu, et al.
Published: (2025)

A Multi-Year Grey Literature Review on AI-assisted Test Automation
by: Ricca, Filippo, et al.
Published: (2024)

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

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

A Multi-Modality Evaluation of the Reality Gap in Autonomous Driving Systems
by: Lambertenghi, Stefano Carlo, et al.
Published: (2025)