On the amplification of security and privacy risks by post-hoc explanations in machine learning models

Pengrui Quan, Supriyo Chakraborty, Jeya Vikranth Jeyakumar +1

A variety of explanation methods have been proposed in recent years to help users gain insights into the results returned by neural networks, which are otherwise complex and opaque…