Defending a Music Recommender Against Hubness-Based Adversarial Attacks

Katharina Hoedt, Arthur Flexer, Gerhard Widmer

Adversarial attacks can drastically degrade performance of recommenders and other machine learning systems, resulting in an increased demand for defence mechanisms. We present a ne…