Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation-Reference-Cited by-同舟云学术

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Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation

Published:2024-05-13 Issue: Volume:1 Page:3379-3387
ISSN:
Container-title:Proceedings of the ACM Web Conference 2024
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Author:

Long Jing¹^ORCID,Chen Tong¹^ORCID,Ye Guanhua²^ORCID,Zheng Kai³^ORCID,Nguyen Quoc Viet Hung⁴^ORCID,Yin Hongzhi¹^ORCID

Affiliation:

1. The University of Queensland, Brisbane, QLD, Australia

2. Deep Neural Computing Company Limited, Shenzhen, Guangdong, China

3. University of Electronic Science and Technology of China, Chengdu, Sichuan, China

4. Griffith University, Gold Coast, QLD, Australia

Funder

Australian Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589334.3645410

Reference45 articles.

1. Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers

2. B. Chang, Y. Park, D. Park, S. Kim, and J. Kang. 2018. Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation. In Twenty-Seventh International Joint Conference on Artificial Intelligence IJCAI-19.

3. AIR: Attentional Intention-Aware Recommender Systems

4. Sequence-Aware Factorization Machines for Temporal Predictive Analytics

5. Try This Instead

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1. MOMTA-HN: A Secure and Reliable Multi-Objective Optimized Multipath Transmission Algorithm for Heterogeneous Networks;Electronics;2024-07-10

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