Kenneth Ge

Achieving Domain-Independent Certified Robustness via Knowledge Continuity

We present *knowledge continuity*, a novel definition inspired by Lipschitz continuity which aims to certify the robustness of neural networks across input domains (such as continuous and discrete domains in vision and language, respectively). Most existing approaches that seek to certify robustness…