Semantic Smoothing via Novel View Synthesis for Robust SAR Image Classification

In three linesAdversarial defense for SAR image classification using semantic smoothing. Replaces isotropic noise with structured geometric transformations generated by novel view synthesis, conditioned on acquisition geometry. Improves robustness against FGSM, PGD, OTSA, SMGAA while increasing clean classification accuracy.

Summary generated by Claude — human-verified