{
  "model": "nula-base-cifar10-v0",
  "note": "clean_training = standard training, adversarial_training = with resize + decimate + blur_decimate augmentation. adversarial model is the deployment candidate.",
  "results": {
    "clean": {
      "clean_training": 0.9195,
      "adversarial_training": 0.8942
    },
    "resize_0.5": {
      "clean_training": 0.5983,
      "adversarial_training": 0.8537
    },
    "resize_0.25": {
      "clean_training": 0.2482,
      "adversarial_training": 0.7180
    },
    "decimate_x2": {
      "clean_training": 0.3003,
      "adversarial_training": 0.8502
    },
    "checker_eps_0.03": {
      "clean_training": 0.7547,
      "adversarial_training": 0.8943
    },
    "checker_eps_0.05": {
      "clean_training": 0.4499,
      "adversarial_training": 0.8939
    }
  }
}