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www-project-machine-learning-security-top-10/docs/ML04_2023-Membership_Inference_Attack.md
Line 27 in f1cf662
| Membership inference attacks occur when an attacker manipulates the model's |
Here, the documentation states that an attacker manipulates the model’s training data, but from my understanding the objective of a membership inference attack is to "[...] predict whether or not a particular example was contained in the model’s training dataset.", so the attacker shouldn't have access to the training data.
I can create a pull request to update the documentation. Let me know if you'd like me to proceed.
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