FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3133706083> ?p ?o ?g. }

• W3133706083 endingPage "38" @default.
• W3133706083 startingPage "1" @default.
• W3133706083 abstract "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 their excellent performance and recommendation accuracy. However, success has been accompanied with a major new arising challenge: Many applications of machine learning (ML) are adversarial in nature [146]. In recent years, it has been shown that these methods are vulnerable to adversarial examples, i.e., subtle but non-random perturbations designed to force recommendation models to produce erroneous outputs. The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models) and (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 76 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community working on the security of RS or on generative models using GANs to improve their quality." @default.
• W3133706083 created "2021-03-15" @default.
• W3133706083 creator A5009954943 @default.
• W3133706083 creator A5034668928 @default.
• W3133706083 creator A5067588342 @default.
• W3133706083 date "2021-03-05" @default.
• W3133706083 modified "2023-10-11" @default.
• W3133706083 title "A Survey on Adversarial Recommender Systems" @default.
• W3133706083 cites W1587835186 @default.
• W3133706083 cites W1966553486 @default.
• W3133706083 cites W1977290284 @default.
• W3133706083 cites W1977606842 @default.
• W3133706083 cites W2008886893 @default.
• W3133706083 cites W2054141820 @default.
• W3133706083 cites W2057763140 @default.
• W3133706083 cites W2071111773 @default.
• W3133706083 cites W2071468265 @default.
• W3133706083 cites W2089349245 @default.
• W3133706083 cites W2097638479 @default.
• W3133706083 cites W2107397716 @default.
• W3133706083 cites W2157331557 @default.
• W3133706083 cites W2194775991 @default.
• W3133706083 cites W2253995343 @default.
• W3133706083 cites W2462264630 @default.
• W3133706083 cites W2475287302 @default.
• W3133706083 cites W2539247542 @default.
• W3133706083 cites W2559094423 @default.
• W3133706083 cites W2562236173 @default.
• W3133706083 cites W2583674722 @default.
• W3133706083 cites W2593414223 @default.
• W3133706083 cites W2605350416 @default.
• W3133706083 cites W2612388534 @default.
• W3133706083 cites W2767948492 @default.
• W3133706083 cites W2783231089 @default.
• W3133706083 cites W2789607830 @default.
• W3133706083 cites W2791319131 @default.
• W3133706083 cites W2798868970 @default.
• W3133706083 cites W2806031607 @default.
• W3133706083 cites W2808500220 @default.
• W3133706083 cites W2809291355 @default.
• W3133706083 cites W2809878087 @default.
• W3133706083 cites W2883111185 @default.
• W3133706083 cites W2893790670 @default.
• W3133706083 cites W2895609298 @default.
• W3133706083 cites W2895669450 @default.
• W3133706083 cites W2896537337 @default.
• W3133706083 cites W2897167574 @default.
• W3133706083 cites W2897610297 @default.
• W3133706083 cites W2903574258 @default.
• W3133706083 cites W2903665338 @default.
• W3133706083 cites W2909591926 @default.
• W3133706083 cites W2911978475 @default.
• W3133706083 cites W2912995243 @default.
• W3133706083 cites W2913696151 @default.
• W3133706083 cites W2913710958 @default.
• W3133706083 cites W2913932916 @default.
• W3133706083 cites W2914021712 @default.
• W3133706083 cites W2914294271 @default.
• W3133706083 cites W2914500297 @default.
• W3133706083 cites W2914971589 @default.
• W3133706083 cites W2916790858 @default.
• W3133706083 cites W2921353139 @default.
• W3133706083 cites W2924526555 @default.
• W3133706083 cites W2928547176 @default.
• W3133706083 cites W2932412950 @default.
• W3133706083 cites W2945952266 @default.
• W3133706083 cites W2950000812 @default.
• W3133706083 cites W2950166131 @default.
• W3133706083 cites W2953891118 @default.
• W3133706083 cites W2954634733 @default.
• W3133706083 cites W2954667104 @default.
• W3133706083 cites W2956096838 @default.
• W3133706083 cites W2962700793 @default.
• W3133706083 cites W2963602998 @default.
• W3133706083 cites W2964057616 @default.
• W3133706083 cites W2964082701 @default.
• W3133706083 cites W2964318046 @default.
• W3133706083 cites W2964938963 @default.
• W3133706083 cites W2965426524 @default.
• W3133706083 cites W2966145721 @default.
• W3133706083 cites W2966283114 @default.
• W3133706083 cites W2970793364 @default.
• W3133706083 cites W2972646741 @default.
• W3133706083 cites W2972965281 @default.
• W3133706083 cites W2977453640 @default.
• W3133706083 cites W2977752635 @default.
• W3133706083 cites W2978041418 @default.
• W3133706083 cites W2978624918 @default.
• W3133706083 cites W2987684747 @default.
• W3133706083 cites W2989774918 @default.
• W3133706083 cites W2989872778 @default.
• W3133706083 cites W2997340900 @default.
• W3133706083 cites W2998528846 @default.
• W3133706083 cites W2998636456 @default.
• W3133706083 cites W3002914557 @default.
• W3133706083 cites W3008165874 @default.
• W3133706083 cites W3012781334 @default.
• W3133706083 cites W3034216953 @default.

• next