~ joint training of an AI model using confidentiality, in this case, data is sent as gradients, the lengths of which are limited and to which noise is added. ~ checking the stability of hash functions, a hash function when changing the initial parameter at the input should change the output, researchers build research functions-> if the gradient in the models is smooth/has a clear motion vector, this means that the model has weak zones (due to regularities)
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