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membership inference attack

A method of attack used on Machine Learning Algorithms, So that we are able to derive the input provided to the models

Membership inference Attack is a way to retrieve back the probability of the original training inputs.

notes

a quote i like

The things that matter most can’t be copied: you can copy goals, you can’t copy discipline. You can copy ideas, you can’t copy execution. You can copy answers, you can’t copy understanding. You can copy thinking, you can’t copy thinking for yourself. ― Shane Parrish