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1 Ergebnisse
1
Everything Perturbed All at Once: Enabling Differentiable G..:
, In:
Companion Proceedings of the ACM Web Conference 2024
,
Liu, Haoran
;
Wang, Bokun
;
Wang, Jianling
... - p. 485-488 , 2024
Link:
https://dl.acm.org/doi/10.1145/3589335.3651501
RT T1 <cTitle>Companion Proceedings of the ACM Web Conference 2024</cTitle>: T1 <Title>Everything Perturbed All at Once: Enabling Differentiable Graph Attacks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3651501&Exemplar=1&LAN=DE A1 Liu, Haoran A1 Wang, Bokun A1 Wang, Jianling A1 Dong, Xiangjue A1 Yang, Tianbao A1 Caverlee, James PB ACM YR 2024 K1 adversarial attack K1 graph neural networks K1 graph poisoning K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Machine learning approaches K1 Neural networks K1 Security and privacy SP 485 OP 488 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3589335.3651501 DO https://dl.acm.org/doi/10.1145/3589335.3651501 SF ELIB - SuUB Bremen
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