config.json

{
  "_comment": "===== MODEL CONFIGURATION =====",
  "data": "mnist",
  "model_type": "cnn",

  "_comment": "===== TRAINING CONFIGURATION =====",
  "random_seed": 0,
  "max_num_training_steps": 6000,
  "num_output_steps": 600,
  "num_summary_steps": 600,
  "num_checkpoint_steps": 600,
  "training_batch_size": 100,
  "step_size_schedule": [[0, 0.001], [3000, 0.0001]],

  "_comment": "===== EVAL CONFIGURATION =====",
  "num_eval_examples": 100,
  "eval_batch_size": 100,
  "eval_on_cpu": false,

  "_comment": "=====ADVERSARIAL EXAMPLES CONFIGURATION=====",

  "_comment": "One of: '', 'MAX'",
  "multi_attack_mode": "MAX",
  "start_small": true,
  "attacks": [
    {"type": "linf", "epsilon": 0.3, "k": 10, "a": 0.01, "random_start": true},
    {"type": "l2", "epsilon": 2, "k": 10, "a": 0.1, "random_start": true},
    {"type": "l1", "epsilon": 10, "k": 10, "random_start": true, "perc": 99, "a":  1.0}
  ],
  "train_attacks": [0, 1, 2],
  "eval_attacks": [0, 1, 2]
}