How to detect the hash value of the computed data

[qqqqqqQwQ]

I would like to ask about the issue of data tampering during the calculation process, for example, when using a CSV file as input in Id3gini. My idea is to save the hash value of the data using blockchain before performing calculations, and then check whether the hash value of the data has changed after the calculations to ensure the security of the computation. Is there any function in the mpyc development package that can be used to detect the hash value of the computed data?

[lschoe]

I'm note sure about the scenario here. In the demo id3gini.py all parties start out with a copy of the same dataset stored in a .csv file. But that's only to keep the demo simple. A realistic scenario is when all parties use a private .csv file and secret-share these between each other using mpc.input() to create a horizontally partitioned dataset. See the kmsurvival.py demo for an example, which is still a demo as each party uses a fragment of a globally available dataset, like this

df = df[mpc.pid::m]  # simple partition of dataset between m parties

To validate these private inputs against changes during the computation does not seem very relevant?

[qqqqqqQwQ]

Thank you for your answer!