NeurIPS 2020

Black-Box Ripper: Copying black-box models using generative evolutionary algorithms

Meta Review

The basic idea of evolving a data set that mimics a black box model of a teacher is intuitive and interesting, although not entirely novel. But the combination of EA and GAN algorithms for realizing a solution to this problem is. The experimental results presented show superiority over the tested baselines, and the paper is well written and easy to understand. One limitation is that the method only evaluated on small data sets and the description of the EA that is used needs to be better explained. The options of several reviewers were raised as a result of clarifications provided in the user response, and the consensus recommendation on this paper is to accept. Please be sure to attend to the reviewer comments as you prepare your final version.