Simple multi-layer autoencoder structure for Olympus

ModelParser handles what information should be extracted from the target/shadow model

Generate attack dataset

copy from: https://github.com/pytorch/pytorch/issues/7455

ModelParser handles what information should be extracted from the target/shadow model

We take https://github.com/SPIN-UMass/ML-Privacy-Regulization as the reference

Generate attack dataset

We follow the paper "Overlearning Reveals Sensitive Attributes" (https://arxiv.org/abs/1905.11742) to implement our attribute inference atta

Abstract base class for attribute inference attack classes.

Abstract base class for membership inference attack classes.

Implementation of a pytorch model for learning a membership inference attack. The features used are probabilities/logits or losses for the a

Abstract base class for MIA defenses.