Learning-Based Testing for Deep Learning: Enhancing Model Robustness with Adversarial Input Prioritization
Fuente:
arXiv
Saved in:
| Main Authors: | Rahman, Sheikh Md Mushfiqur, Eisty, Nasir |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Pass/Fail: The Story of Learning-Based Testing
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2025)
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2025)
Introducing Ensemble Machine Learning Algorithms for Automatic Test Case Generation using Learning Based Testing
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2024)
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2024)
Exploring Sustainability in Scientific Software through Code Quality & Test Coverage Metrics
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2026)
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2026)
Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware
by: Arifin, Md Mashrur, et al.
Published: (2026)
by: Arifin, Md Mashrur, et al.
Published: (2026)
Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study
by: Shah, Mehil B., et al.
Published: (2024)
by: Shah, Mehil B., et al.
Published: (2024)
Toward Efficient Testing of Graph Neural Networks via Test Input Prioritization
by: Yang, Lichen, et al.
Published: (2025)
by: Yang, Lichen, et al.
Published: (2025)
GIST: Generated Inputs Sets Transferability in Deep Learning
by: Tambon, Florian, et al.
Published: (2023)
by: Tambon, Florian, et al.
Published: (2023)
Benchmarking Generative AI Models for Deep Learning Test Input Generation
by: Maryam, et al.
Published: (2024)
by: Maryam, et al.
Published: (2024)
The Role of AI in Modern Penetration Testing
by: Curtis, J. Alexander, et al.
Published: (2025)
by: Curtis, J. Alexander, et al.
Published: (2025)
GPU Temperature Simulation-Based Testing for In-Vehicle Deep Learning Frameworks
by: Zou, Yinglong, et al.
Published: (2025)
by: Zou, Yinglong, et al.
Published: (2025)
Towards Assessing Deep Learning Test Input Generators
by: Mzoughi, Seif, et al.
Published: (2025)
by: Mzoughi, Seif, et al.
Published: (2025)
Exploring the Advances in Using Machine Learning to Identify Technical Debt and Self-Admitted Technical Debt
by: Melin, Eric L., et al.
Published: (2024)
by: Melin, Eric L., et al.
Published: (2024)
Constrained Adversarial Learning for Automated Software Testing: a literature review
by: Vitorino, João, et al.
Published: (2023)
by: Vitorino, João, et al.
Published: (2023)
PRIMG : Efficient LLM-driven Test Generation Using Mutant Prioritization
by: Bouafif, Mohamed Salah, et al.
Published: (2025)
by: Bouafif, Mohamed Salah, et al.
Published: (2025)
Targeted Deep Learning System Boundary Testing
by: Weißl, Oliver, et al.
Published: (2024)
by: Weißl, Oliver, et al.
Published: (2024)
Relative Positioning Based Code Chunking Method For Rich Context Retrieval In Repository Level Code Completion Task With Code Language Model
by: Rahman, Imranur, et al.
Published: (2025)
by: Rahman, Imranur, et al.
Published: (2025)
Self-Admitted Technical Debt in Scientific Software: Prioritization, Sentiment, and Propagation Across Artifacts
by: Melin, Eric L., et al.
Published: (2026)
by: Melin, Eric L., et al.
Published: (2026)
Generating Realistic, Diverse, and Fault-Revealing Inputs with Latent Space Interpolation for Testing Deep Neural Networks
by: Duan, Bin, et al.
Published: (2025)
by: Duan, Bin, et al.
Published: (2025)
Latent Regularization in Generative Test Input Generation
by: Merabishvili, Giorgi, et al.
Published: (2026)
by: Merabishvili, Giorgi, et al.
Published: (2026)
Scalable and Precise Patch Robustness Certification for Deep Learning Models with Top-k Predictions
by: Zhou, Qilin, et al.
Published: (2025)
by: Zhou, Qilin, et al.
Published: (2025)
Testing Research Software: An In-Depth Survey of Practices, Methods, and Tools
by: Eisty, Nasir U., et al.
Published: (2025)
by: Eisty, Nasir U., et al.
Published: (2025)
FAST: Boosting Uncertainty-based Test Prioritization Methods for Neural Networks via Feature Selection
by: Chen, Jialuo, et al.
Published: (2024)
by: Chen, Jialuo, et al.
Published: (2024)
Sentiment Analysis of ML Projects: Bridging Emotional Intelligence and Code Quality
by: Ahmed, Md Shoaib, et al.
Published: (2024)
by: Ahmed, Md Shoaib, et al.
Published: (2024)
Hold On! Is My Feedback Useful? Evaluating the Usefulness of Code Review Comments
by: Ahmed, Sharif, et al.
Published: (2025)
by: Ahmed, Sharif, et al.
Published: (2025)
Understanding Emojis :) in Useful Code Review Comments
by: Ahmed, Sharif, et al.
Published: (2024)
by: Ahmed, Sharif, et al.
Published: (2024)
Characterizing the Usefulness of Code Review Comments in Scientific Software for Software Quality and Scientific Rigor
by: Ahmed, Sharif, et al.
Published: (2026)
by: Ahmed, Sharif, et al.
Published: (2026)
Towards Causal Deep Learning for Vulnerability Detection
by: Rahman, Md Mahbubur, et al.
Published: (2023)
by: Rahman, Md Mahbubur, et al.
Published: (2023)
Protecting Deep Learning Model Copyrights with Adversarial Example-Free Reuse Detection
by: Luan, Xiaokun, et al.
Published: (2024)
by: Luan, Xiaokun, et al.
Published: (2024)
DANDI: Diffusion as Normative Distribution for Deep Neural Network Input
by: Kim, Somin, et al.
Published: (2025)
by: Kim, Somin, et al.
Published: (2025)
DeepKnowledge: Generalisation-Driven Deep Learning Testing
by: Missaoui, Sondess, et al.
Published: (2024)
by: Missaoui, Sondess, et al.
Published: (2024)
Code Vulnerability Detection: A Comparative Analysis of Emerging Large Language Models
by: Sultana, Shaznin, et al.
Published: (2024)
by: Sultana, Shaznin, et al.
Published: (2024)
Clotho: Measuring Task-Specific Pre-Generation Test Adequacy for LLM Inputs
by: Yoon, Juyeon, et al.
Published: (2025)
by: Yoon, Juyeon, et al.
Published: (2025)
Investigating Reproducibility in Deep Learning-Based Software Fault Prediction
by: Mukhtar, Adil, et al.
Published: (2024)
by: Mukhtar, Adil, et al.
Published: (2024)
MALTA: Maintenance-Aware Technical Lag, Estimation to Address Software Abandonment
by: Panter, Shane K., et al.
Published: (2026)
by: Panter, Shane K., et al.
Published: (2026)
Technical Lag as Latent Technical Debt: A Rapid Review
by: Panter, Shane K., et al.
Published: (2026)
by: Panter, Shane K., et al.
Published: (2026)
Prioritizing App Reviews for Developer Responses on Google Play
by: Jafari, Mohsen, et al.
Published: (2025)
by: Jafari, Mohsen, et al.
Published: (2025)
Can Search-Based Testing with Pareto Optimization Effectively Cover Failure-Revealing Test Inputs?
by: Sorokin, Lev, et al.
Published: (2024)
by: Sorokin, Lev, et al.
Published: (2024)
Can Hessian-Based Insights Support Fault Diagnosis in Attention-based Models?
by: Jahan, Sigma, et al.
Published: (2025)
by: Jahan, Sigma, et al.
Published: (2025)
A Comprehensive Study of Deep Learning Model Fixing Approaches
by: You, Hanmo, et al.
Published: (2025)
by: You, Hanmo, et al.
Published: (2025)
TopoMap: A Feature-based Semantic Discriminator of the Topographical Regions in the Test Input Space
by: De Vita, Gianmarco, et al.
Published: (2025)
by: De Vita, Gianmarco, et al.
Published: (2025)
Similar Items
-
Beyond Pass/Fail: The Story of Learning-Based Testing
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2025) -
Introducing Ensemble Machine Learning Algorithms for Automatic Test Case Generation using Learning Based Testing
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2024) -
Exploring Sustainability in Scientific Software through Code Quality & Test Coverage Metrics
by: Rahman, Sheikh Md. Mushfiqur, et al.
Published: (2026) -
Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware
by: Arifin, Md Mashrur, et al.
Published: (2026) -
Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study
by: Shah, Mehil B., et al.
Published: (2024)