Enhancing Adversarial Robustness with Signed Distance Fields for Harmonizing Geometric Invariance and Texture

Zhe Li, Bernhard Kainz

Deep neural networks demonstrate impressive performance in visual recognition but remain highly vulnerable to imperceptible adversarial attacks. Existing defense strategies such as…