ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM-Reference-Cited by-同舟云学术

ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Hu Mingzhi¹^ORCID,Zhang Xin¹^ORCID,Li Yanhua¹^ORCID,Zhou Xun²^ORCID,Luo Jun³^ORCID

Affiliation:

1. Worcester Polytechnic Institute, Worcester, MA, USA

2. University of Iowa, Iowa City, IA, USA

3. Lenovo Group Limited, Hong Kong, Hong Kong

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3580305.3599513

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4. Arijit Chowdhury , Tapas Chakravarty , Avik Ghose , Tanushree Banerjee , and P Balamuralidhar . 2018. Investigations on driver unique identification from smartphone's GPS data alone. Journal of Advanced Transportation 2018 ( 2018 ). Arijit Chowdhury, Tapas Chakravarty, Avik Ghose, Tanushree Banerjee, and P Balamuralidhar. 2018. Investigations on driver unique identification from smartphone's GPS data alone. Journal of Advanced Transportation 2018 (2018).

5. Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport

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