Personal digital data is a critical asset, and governments worldwide have enforced laws and
regulations to protect data privacy. Data users have been endowed with the “right to be …

Recently, an increasing number of laws have governed the useability of users' privacy. For
example, Article 17 of the General Data Protection Regulation (GDPR), the right to be …

Today, computer systems hold large amounts of personal data. Yet while such an
abundance of data allows breakthroughs in artificial intelligence, and especially machine …

We study the problem of unlearning datapoints from a learnt model. The learner first
receives a dataset $ S $ drawn iid from an unknown distribution, and outputs a model …

With the greater emphasis on privacy and security in our society, the problem of graph
unlearning—revoking the influence of specific data on the trained GNN model, is drawing …

Language models (LMs) are trained on vast amounts of text data, which may include private
and copyrighted content. Data owners may request the removal of their data from a trained …

Support vector ordinal regression (SVOR) is a popular method to tackle ordinal regression
problems. However, until now there were no effective algorithms proposed to address …

Abstract The ν-Support Vector Regression (ν-SVR) is an effective regression learning
algorithm, which has the advantage of using a parameter ν on controlling the number of …

With the growing demand for the right to be forgotten, there is an increasing need for
machine learning models to forget sensitive data and its impact. To address this, the …

Regulations now mandate data-driven systems, eg, recommender systems, to empower
users to delete private individual data. This prompts the crucial unlearning of data from …