Visual AI systems are vulnerable to natural and synthetic physical corru...
Deep Neural Networks (DNNs) are being used to solve a wide range of prob...
Adversarial attacks in deep learning models, especially for safety-criti...
Adversarial training for neural networks has been in the limelight in re...
Spiking Neural Networks (SNNs) are an emerging domain of biologically
in...
Despite the successful implementations of physics-informed neural networ...
Most real-world datasets, and particularly those collected from physical...