Carry out a model such as equality circuits or greater than circuits on a training data set. Then encrypt the data set using a fully homomorphic library such as PySeal on python to encrypt the testing data. Then carry out the model on the encrypted data and make comparison such as timing.
hi there i am a student of machine learning have been recently working on cloud security . I have interest in in your project would try to get it done effectively. IN YOUR JOB MONITORING OF TRAFFIC MAY CAN HELP US IN P Daha Fazla
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hello, i am expert in python and c an very good to deal with machine learning and i really want to work on your project waiting for your reply thanks..............