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…