2 papers
cs.LG2026
VOLTA: The Surprising Ineffectiveness of Auxiliary Losses for Calibrated Deep Learning
Rahul D Ray, Utkarsh Srivastava
Uncertainty quantification (UQ) is essential for deploying deep learning models in safety critical applications, yet no consensus exists on which UQ method performs best across dif…
cs.CV2025
Trans-defense: Transformer-based Denoiser for Adversarial Defense with Spatial-Frequency Domain Representation
Alik Pramanick, Mayank Bansal, Utkarsh Srivastava +2
In recent times, deep neural networks (DNNs) have been successfully adopted for various applications. Despite their notable achievements, it has become evident that DNNs are vulner…