CARE: Certifiably Robust Learning with Reasoning via Variational Inference
@article{Zhang2022CARECR, title={CARE: Certifiably Robust Learning with Reasoning via Variational Inference}, author={Jiawei Zhang and Linyi Li and Ce Zhang and Bo Li}, journal={ArXiv}, year={2022}, volume={abs/2209.05055} }
—Despite great recent advances achieved by deep neural networks (DNNs), they are often vulnerable to adversarial attacks. Intensive research efforts have been made to improve the robustness of DNNs; however, most empirical defenses can be adaptively attacked again, and the theoretically certified robustness is limited, especially on large-scale datasets. One potential root cause of such vulnerabilities for DNNs is that although they have demonstrated powerful expressiveness, they lack the…