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
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Updated
Dec 8, 2022 - Python