Review for NeurIPS paper: A Causal View on Robustness of Neural Networks

On one hand, the manuscript is well-organized and reviewers appreciated the probabilistic attempt at robustness and the fine-tuning idea. On the other hand, concerns were voiced in the reviews and during discussion. In the end, the meta-reviewer (after independent examination of the manuscript) concluded that the merits outweigh the potential issues. We strongly encourage the authors to revise the draft by taking the following comments into account (more in the reviews): (a) The causal aspect of the manuscript appears to be somewhat decorative than necessary. Indeed, upon independent reading of the manuscript, the meta-reviewer agrees that one can essentially remove all causal notions, after all the do-calculus on the simple model that the authors adopted is nothing different from the usual conditioning. Besides, the causal model is never used for true intervention or performing counterfactual inference.