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1 Ergebnisse
1
ST-iFGSM: Enhancing Robustness of Human Mobility Signature ..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Hu, Mingzhi
;
Zhang, Xin
;
Li, Yanhua
.. - p. 764-774 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599513
RT T1 <cTitle>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3599513&Exemplar=1&LAN=DE A1 Hu, Mingzhi A1 Zhang, Xin A1 Li, Yanhua A1 Zhou, Xun A1 Luo, Jun PB ACM YR 2023 K1 adversarial attack K1 adversarial training K1 driver identification K1 spatial-temporal data mining K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification K1 Unsupervised learning K1 Anomaly detection K1 Reinforcement learning K1 Adversarial learning K1 Machine learning approaches K1 Neural networks SP 764 OP 774 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599513 DO https://dl.acm.org/doi/10.1145/3580305.3599513 SF ELIB - SuUB Bremen
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