How-To: Decrypt Output Data
After receiving the encrypted output from a query request, the end-user must decrypt the message using their Secret Key. This guide explains how to perform the decryption process.
Prerequisites
Encrypted Output: The output must be retrieved from a successful query execution.
Secret Key: The user’s Secret Key is required to decrypt the message.
Use the following code snippet to decrypt the output data. Provide the User Access Token and the encrypted output message as parameters:
import lattica_common.app_api as agent_app
# Notice your query token expires in 30 days
query_token = "the_query_token_you_got_using_the_generate_user_token"
# user_data is a tuple of:
# (serialized_context, serialized_secret_key, serialized_homseq)
# which you need for encrypting the query and querying the model
user_data = agent_app.user.query_offline_phase(query_token)
dataset = pd.read_csv('data/mnist_data.csv').values / 255
data = torch.tensor(dataset[0])
serialized_ct = agent_app.user.encrypt(user_data, dataset)
serialized_ct_res = agent_app.user.apply_hom_pipeline(serialized_ct)
serialized_pt = agent_app.user.decrypt(serialized_ct_res)
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