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cs.LG2026
Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes
Bin Duan, Meiru Che, Guowei Yang
As neural networks are increasingly deployed in safety-critical domains, testing is essential to evaluate and improve their reliability. Existing testing methods, whether black-box…
cs.LG2026
Latent Anchor-Driven Test Generation for Deep Neural Networks
Bin Duan, Matthew B. Dwyer, Guowei Yang
Deep Neural Networks (DNNs) are increasingly being deployed in security-critical and safety-sensitive applications, which makes rigorous testing essential to identify and mitigate…
cs.LG2025
Generating Realistic, Diverse, and Fault-Revealing Inputs with Latent Space Interpolation for Testing Deep Neural Networks
Bin Duan, Matthew B. Dwyer, Guowei Yang
Deep Neural Networks (DNNs) have been widely employed across various domains, including safety-critical systems, necessitating comprehensive testing to ensure their reliability. Al…