Chethan Krishnamurthy Ramanaik

On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces

Chethan Krishnamurthy Ramanaik, Tobias Callies, Michael Hecht, Eirini Ntoutsi

Adversarial vulnerability in deep neural networks (DNNs) has been studied from the perspectives of decision-boundary geometry, feature robustness, input-output Jacobians, and the instability of inverse problems. Here, we focus on the spectral structure of intermediate linear tran…Read more