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privacytrustlab / ml_privacy_meter

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
MIT License
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feberated learning #35

Closed intefirm closed 1 year ago

intefirm commented 3 years ago

Hi, I would like to know how this library should be used on a federal learning scenario? Also, how should I be able to reproduce your attacks on federated learning described on your paper " Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks" ？I would appreciate a lot if you could reply promptly.

amad-person commented 3 years ago

@intefirm Currently, ML Privacy Meter doesn’t support running experiments in the federated learning setting.

However, I can point you to the code used for the paper: https://github.com/SPIN-UMass/MembershipWhiteboxAttacks/blob/master/ATTACK-ALEXNET-grad_fed_local.py