Recent regulations concerning the Right to be Forgotten have greatly influenced operation of recommender systems, because users now right withdraw their private data. Besides simply deleting target data in database, unlearning associated lineage e.g., learned personal features and preferences model, is also necessary for withdrawal. Existing methods are mainly devised generalized machine learni...

Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibility of unlearning past experiences. Moreover, since the target values in the training examples are bootstraps values, this is, estimates of other estimates, the chances to get stuck in a local minimum are increased. The...

The Right to be Forgotten is part of the recently enacted General Data Protection Regulation (GDPR) law that affects any data holder has on European Union residents. It gives EU residents ability request deletion their personal data, including training records used train machine learning models. Unfortunately, Deep Neural Network models are vulnerable information leaking attacks such as model i...