An active adversary can exploit additive error injection in passively secure MPC training to poison models, amplify membership inference, reduce fairness, and reconstruct exact training data.
Falcon: Honest- majority maliciously secure framework for private deep learning,
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Covert Attacks on Machine Learning Training in Passively Secure MPC
An active adversary can exploit additive error injection in passively secure MPC training to poison models, amplify membership inference, reduce fairness, and reconstruct exact training data.