KC Santosh

Non-uniform Illumination Attack for Fooling Convolutional Neural Networks

2025 · IEEE Transactions on Artificial Intelligence

Convolutional neural networks (CNNs) have made remarkable strides; however, they remain susceptible to vulnerabilities, particularly to image perturbations that humans can easily recognize. This weakness, often termed as “attacks,” underscores the limited robustness of CNNs …