What is the best method to apply to an AI model so that it is statistically unlikely that a specific piece of training data can be identified from a model's output?

The correct answer is C. Differential privacy.. Differential privacy adds controlled noise to the training process, making it statistically unlikely to identify specific training data from the model's outputs.

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Question

What is the best method to apply to an AI model so that it is statistically unlikely that a specific piece of training data can be identified from a model’s output?

Options

AHomomorphic encryption.
BData sharding.
CDifferential privacy.
DData compartmentalization.

How the community answered

(39 responses)

A
3% (1)
B
3% (1)
C
90% (35)
D
5% (2)

Explanation

Differential privacy adds controlled noise to the training process, making it statistically unlikely to identify specific training data from the model's outputs.

Topics

#differential privacy#privacy protection#training data#membership inference

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