Limitations

longer wait times ( 6 8 hours) can be expected if multiple earlier jobs are running users can keep observing the status of the job by using the get api or the dashboard link "number of attack queries" parameter currently is limited to <=400000 for all tasks "number of classes" parameter should be <200 for all classification task type when executing the reference implementation, it is recommended to install the per requisite libraries with exact versions the product currently supports tensorflow version between 2 3 0 and 2 15 0 tabular classification supports scikit learn models with preferred version 1 4 0 and xgboost model version 2 0 3 image classification evasion defense might be less effective against very small perturbation image classification poisoning encryption strategy and use model api endpoint not supported also it requires two clean model and one test model tabular classification evasion analysis is only supported with a normalized dataset between 0 1 the image should be in rgb format , and the model should be trained with images in this format when the number of attack queries is low, such as 1000 or fewer, the system automatically generates them