we present an evaluation framework, named Visual Adversarial Recommender (\var), to empirically investigate the performance of defended or undefended DNNs in various visually-aware item recommendation tasks.
feature-extraction
recommendation-system
recommender-system
defense
adversarial-machine-learning
adversarial-attacks
attack-parameters
visual-attacks
feature-loss
-
Updated
Dec 8, 2022 - Python