Membership & Attribute Inference Attacks

Defend ML models against membership and attribute inference attacks. Learn the attack zoo (shadow models, LiRA, threshold attacks, attribute inference, model extraction), evaluation protocols, the link to overfitting and training-data duplication, and the mitigation playbook (DP training, regularisation, output perturbation).