Visual-Adversarial-Recommendation
Publicwe 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.
adversarial-attacksadversarial-machine-learningattack-parametersdefensefeature-extractionfeature-lossrecommendation-systemrecommender-systemvisual-attacks
Creat：2020-05-05T18:20:11
Update：2023-04-14T11:55:18
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