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  • Betghelab and Google Brain employees can participate but are ineligible for prizes
  • participants are required to release the code of their submissions as open source to be eligible for the final scoring
  • any legitimate input that is not classified by a model will be counted as an adversarial
  • if an attack fails to produce an adversarial, we will register a worst-case adversarial instead
  • all classifiers must be stateless and act on one image at a time
  • the decision of each classifier must be deterministic
  • attacks are allowed to query the model on self-defined inputs up to 1.000 times / sample
  • each model has to process one image within 40ms on a K80 GPU (excluding initialization and setup which may take up to 100s)
  • each attack has to process a batch of 10 images within 900s on a K80 GPU