102 citations · 413 across the 69 of their papers we have counts for
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Multi-Step Adversarial Perturbations on Recommender Systems Embeddings
Vito Walter Anelli, Alejandro Bellogín, Yashar Deldjoo +2
Recommender systems (RSs) have attained exceptional performance in learning users' preferences and helping them in finding the most suitable products. Recent advances in adversaria…
An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders
Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta +1
Visual-based recommender systems (VRSs) enhance recommendation performance by integrating users' feedback with the visual features of product images extracted from a deep neural ne…
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks
Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
Latent-factor models (LFM) based on collaborative filtering (CF), such as matrix factorization (MF) and deep CF methods, are widely used in modern recommender systems (RS) due to t…