Evaluating the Effectiveness of Coverage-Guided Fuzzing for Testing Deep Learning Library APIs
Fuente:
arXiv
Saved in:
| Main Authors: | Qin, Feiran, Naziri, M. M. Abid, Ai, Hengyu, Dutta, Saikat, d'Amorim, Marcelo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Testing Deep Learning Libraries via Neurosymbolic Constraint Learning
by: Naziri, M M Abid, et al.
Published: (2026)
by: Naziri, M M Abid, et al.
Published: (2026)
Improving Deep Learning Library Testing with Machine Learning
by: Molina, Facundo, et al.
Published: (2026)
by: Molina, Facundo, et al.
Published: (2026)
Bug Histories as Sources of Compiler Fuzzing Mutators
by: Liu, Lingjun, et al.
Published: (2025)
by: Liu, Lingjun, et al.
Published: (2025)
Misbehavior Forecasting for Focused Autonomous Driving Systems Testing
by: Naziri, M M Abid, et al.
Published: (2025)
by: Naziri, M M Abid, et al.
Published: (2025)
XMutant: XAI-based Fuzzing for Deep Learning Systems
by: Chen, Xingcheng, et al.
Published: (2025)
by: Chen, Xingcheng, 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)
by: Kulsum, Ummay, et al.
Published: (2024)
Configuration Defects in Kubernetes
by: Zhang, Yue, et al.
Published: (2025)
by: Zhang, Yue, et al.
Published: (2025)
Just another copy and paste? Comparing the security vulnerabilities of ChatGPT generated code and StackOverflow answers
by: Hamer, Sivana, et al.
Published: (2024)
by: Hamer, Sivana, et al.
Published: (2024)
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)
WuppieFuzz: Coverage-Guided, Stateful REST API Fuzzing
by: Rooijakkers, Thomas, et al.
Published: (2025)
by: Rooijakkers, Thomas, et al.
Published: (2025)
Agentic LMs: Hunting Down Test Smells
by: Melo, Rian, et al.
Published: (2025)
by: Melo, Rian, et al.
Published: (2025)
A Generic and Efficient Python Runtime Verification System and its Large-scale Evaluation
by: Shen, Zhuohang, et al.
Published: (2025)
by: Shen, Zhuohang, et al.
Published: (2025)
Code Quality Analysis of Translations from C to Rust
by: Tadesse, Biruk, et al.
Published: (2026)
by: Tadesse, Biruk, et al.
Published: (2026)
The Effects of Computational Resources on Flaky Tests
by: Silva, Denini, et al.
Published: (2023)
by: Silva, Denini, et al.
Published: (2023)
Fuzzing REST APIs in Industry: Necessary Features and Open Problems
by: Arcuri, Andrea, et al.
Published: (2026)
by: Arcuri, Andrea, et al.
Published: (2026)
AFLNet Five Years Later: On Coverage-Guided Protocol Fuzzing
by: Meng, Ruijie, et al.
Published: (2024)
by: Meng, Ruijie, et al.
Published: (2024)
Coverage-Guided Multi-Agent Harness Generation for Java Library Fuzzing
by: Loose, Nils, et al.
Published: (2026)
by: Loose, Nils, et al.
Published: (2026)
Learning-Guided Fuzzing for Testing Stateful SDN Controllers
by: Ollando, Raphaël, et al.
Published: (2024)
by: Ollando, Raphaël, et al.
Published: (2024)
FuzzAug: Data Augmentation by Coverage-guided Fuzzing for Neural Test Generation
by: He, Yifeng, et al.
Published: (2024)
by: He, Yifeng, et al.
Published: (2024)
Search-Based Fuzzing For RESTful APIs That Use MongoDB
by: Ghianni, Hernan, et al.
Published: (2025)
by: Ghianni, Hernan, et al.
Published: (2025)
Coverage-Guided Testing for Deep Learning Models: A Comprehensive Survey
by: Guo, Hongjing, et al.
Published: (2025)
by: Guo, Hongjing, et al.
Published: (2025)
Fuzzing Automatic Differentiation in Deep-Learning Libraries
by: Yang, Chenyuan, et al.
Published: (2023)
by: Yang, Chenyuan, et al.
Published: (2023)
FLARE: Agentic Coverage-Guided Fuzzing for LLM-Based Multi-Agent Systems
by: Hui, Mingxuan, et al.
Published: (2026)
by: Hui, Mingxuan, et al.
Published: (2026)
DeepREST: Automated Test Case Generation for REST APIs Exploiting Deep Reinforcement Learning
by: Corradini, Davide, et al.
Published: (2024)
by: Corradini, Davide, et al.
Published: (2024)
DocTer: Documentation Guided Fuzzing for Testing Deep Learning API Functions
by: Xie, Danning, et al.
Published: (2021)
by: Xie, Danning, et al.
Published: (2021)
A Regression Testing Framework with Automated Assertion Generation for Machine Learning Notebooks
by: Yao, Yingao Elaine, et al.
Published: (2025)
by: Yao, Yingao Elaine, et al.
Published: (2025)
MoCo: Fuzzing Deep Learning Libraries via Assembling Code
by: Ji, Pin, et al.
Published: (2024)
by: Ji, Pin, et al.
Published: (2024)
Harnessing LLMs for Document-Guided Fuzzing of OpenCV Library
by: Duan, Bin, et al.
Published: (2025)
by: Duan, Bin, et al.
Published: (2025)
FuzzWiz -- Fuzzing Framework for Efficient Hardware Coverage
by: Gadde, Deepak Narayan, et al.
Published: (2024)
by: Gadde, Deepak Narayan, et al.
Published: (2024)
Perception-Guided Fuzzing for Simulated Scenario-Based Testing of Autonomous Driving Systems
by: Pham, Tri Minh Triet, et al.
Published: (2024)
by: Pham, Tri Minh Triet, et al.
Published: (2024)
SATORI: Static Test Oracle Generation for REST APIs
by: Alonso, Juan C., et al.
Published: (2025)
by: Alonso, Juan C., et al.
Published: (2025)
Many-Objective Search-Based Coverage-Guided Automatic Test Generation for Deep Neural Networks
by: Li, Dongcheng, et al.
Published: (2024)
by: Li, Dongcheng, et al.
Published: (2024)
The Seeds of the FUTURE Sprout from History: Fuzzing for Unveiling Vulnerabilities in Prospective Deep-Learning Libraries
by: Li, Zhiyuan, et al.
Published: (2024)
by: Li, Zhiyuan, et al.
Published: (2024)
GraphFuzz: Automated Testing of Graph Algorithm Implementations with Differential Fuzzing and Lightweight Feedback
by: Yan, Wenqi, et al.
Published: (2025)
by: Yan, Wenqi, et al.
Published: (2025)
Requirements Coverage-Guided Minimization for Natural Language Test Cases
by: Pan, Rongqi, et al.
Published: (2025)
by: Pan, Rongqi, et al.
Published: (2025)
Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models
by: Wang, Haipeng, et al.
Published: (2024)
by: Wang, Haipeng, et al.
Published: (2024)
Security Testing of RESTful APIs With Test Case Mutation
by: Salva, Sebastien, et al.
Published: (2024)
by: Salva, Sebastien, et al.
Published: (2024)
LLM-Powered Silent Bug Fuzzing in Deep Learning Libraries via Versatile and Controlled Bug Transfer
by: Zhang, Kunpeng, et al.
Published: (2026)
by: Zhang, Kunpeng, et al.
Published: (2026)
MOTIF: A tool for Mutation Testing with Fuzzing
by: Lee, Jaekwon, et al.
Published: (2024)
by: Lee, Jaekwon, et al.
Published: (2024)
FuzzRDUCC: Fuzzing with Reconstructed Def-Use Chain Coverage
by: Feng, Kai, et al.
Published: (2025)
by: Feng, Kai, et al.
Published: (2025)
Similar Items
-
Testing Deep Learning Libraries via Neurosymbolic Constraint Learning
by: Naziri, M M Abid, et al.
Published: (2026) -
Improving Deep Learning Library Testing with Machine Learning
by: Molina, Facundo, et al.
Published: (2026) -
Bug Histories as Sources of Compiler Fuzzing Mutators
by: Liu, Lingjun, et al.
Published: (2025) -
Misbehavior Forecasting for Focused Autonomous Driving Systems Testing
by: Naziri, M M Abid, et al.
Published: (2025) -
XMutant: XAI-based Fuzzing for Deep Learning Systems
by: Chen, Xingcheng, et al.
Published: (2025)