A Low-cost, High-impact Node Injection Approach for Attacking Social Network Alignment
Social network alignment (SNA) holds significant importance for various downstream
applications, prompting numerous professionals to develop and share SNA tools …
applications, prompting numerous professionals to develop and share SNA tools …
A2S2-GNN: Rigging GNN-Based Social Status by Adversarial Attacks in Signed Social Networks
X Yin, W Lin, K Sun, C Wei… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Social status, the social influence of a user, plays an important role in many real-world
applications, eg, trust relations and information propagation in a social network. In this …
applications, eg, trust relations and information propagation in a social network. In this …
iFriendU: Leveraging 3-cliques to enhance infiltration attacks in online social networks
Online Social Networks (OSNs) such as Facebook have become ubiquitous in the past few
years, counting hundreds of millions of people as members. OSNs allow users to form …
years, counting hundreds of millions of people as members. OSNs allow users to form …
Targeted cyber-attacks: Unveiling target reconnaissance strategy via social networks
The massive explosion of Online Social Networks (OSNs) has brought both great
opportunities and security threats. As one of the richest sources on personal information …
opportunities and security threats. As one of the richest sources on personal information …
A novel cross-network embedding for anchor link prediction with social adversarial attacks
Anchor link prediction across social networks plays an important role in multiple social
network analysis. Traditional methods rely heavily on user privacy information or high …
network analysis. Traditional methods rely heavily on user privacy information or high …
Attacking the core structure of complex network
B Zhou, Y Lv, J Wang, J Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The concept of-core in complex networks plays a key role in many applications, eg,
understanding the global structure or identifying central/critical nodes, of a network. A …
understanding the global structure or identifying central/critical nodes, of a network. A …
Pre-emptive spectral graph protection strategies on multiplex social networks
AW Wijayanto, T Murata - Applied Network Science, 2018 - Springer
Constructing effective and scalable protection strategies over epidemic propagation is a
challenging issue. It has been attracting interests in both theoretical and empirical studies …
challenging issue. It has been attracting interests in both theoretical and empirical studies …
Black-box attacks against signed graph analysis via balance poisoning
Signed graphs are well-suited for modeling social networks as they capture both positive
and negative relationships. Signed graph neural networks (SGNNs) are commonly …
and negative relationships. Signed graph neural networks (SGNNs) are commonly …
Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition
Social network alignment has been an important research problem for social network
analysis in recent years. With the identified shared users across networks, it will provide …
analysis in recent years. With the identified shared users across networks, it will provide …
Maximizing Malicious Influence in Node Injection Attack
Graph neural networks (GNNs) have achieved impressive performance in various graph-
related tasks. However, recent studies have found that GNNs are vulnerable to adversarial …
related tasks. However, recent studies have found that GNNs are vulnerable to adversarial …