Preprint
Jul 2026
On Adversarial Vulnerability of Vision-Language Models through the Lens of Intermediate Spectral Subspaces
This work proposes a white-box spectral-subspace-guided attack (SSGRA) that aligns intermediate representations with the subspace spanned by the bottom right singular vectors, offering a spectral interpretation of adversarial vulnerability in VLMs, providing insights for improving their robustness.
Chethan Krishnamurthy Ramanaik, Tobias Callies, Michael Hecht et al.
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