TOAK: A Topology-oriented Attack Strategy for Degrading User Identity Linkage in Cross-network Learning

J Shao, Y Wang, F Guo, B Shi, H Shen… - Proceedings of the 32nd …, 2023 - dl.acm.org
Privacy concerns on social networks have received extensive attention in recent years. The
task of user identity linkage (UIL), which aims to identify corresponding users across different …

Topic and knowledge-enhanced modeling for edge-enabled IoT user identity linkage across social networks

R Huang, T Ma, H Rong, K Huang, N Bi, P Liu… - Journal of Cloud …, 2024 - Springer
Abstract The Internet of Things (IoT) devices spawn growing diverse social platforms and
online data at the network edge, propelling the development of cross-platform applications …

[HTML][HTML] User identification across online social networks based on gated multi-feature extraction

Y Mao, C Ye - Alexandria Engineering Journal, 2024 - Elsevier
User identification is an essential technical support for downstream tasks such as
recommendation systems, information retrieval, and collaborative filtering. Computing the …

CANA: Causal-enhanced Social Network Alignment

J Shao, Y Wang, F Guo, B Shi, H Shen… - Proceedings of the 32nd …, 2023 - dl.acm.org
Social network alignment is widely applied in web applications for identifying corresponding
nodes across different networks, such as linking users across two social networks. Existing …

MFLink: User Identity Linkage Across Online Social Networks via Multimodal Fusion and Adversarial Learning

S Li, D Lu, Q Li, X Wu, S Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As an essential step in the online social network research, user identity linkage aims to
identify different accounts belonging to the same natural person. Many existing methods rely …

MMUIL: enhancing multi-platform user identity linkage with multi-information

Q Zhou, Y Hei, W Chen, S Zheng, L Zhao - Knowledge and Information …, 2024 - Springer
User identity linkage (UIL) aims to link identities belonging to the same individual across
various platforms. While numerous methods have been proposed for paired or multiple …

A Review of User Identity Linkage Across Social Networks

D Lu, Q Li, Z Liu, S Li, X Wu, S Li - 2023 8th International …, 2023 - ieeexplore.ieee.org
With the rapid development of social networks, the services provided by social platforms are
becoming more and more diversified, which attracts many people to participate in different …

Congestion Forecast for Trains with Railroad-Graph-Based Semi-Supervised Learning Using Sparse User Reports

S Anno, K Tsubouchi, M Shimosaka - Available at SSRN 4598456 - papers.ssrn.com
This paper targets forecasting railroad congestion by using passenger reports collected
through a transit application. The procurement of such reports is markedly cost-effective …