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Found 5 papers, 1 papers with code
Coupled-Space Attacks against Random-Walk-based Anomaly Detection
In addition, we conduct transfer attack experiments in a black-box setting, which show that our feature attack significantly decreases the anomaly scores of target nodes.
Human intuition as a defense against attribute inference
Attribute inference - the process of analyzing publicly available data in order to uncover hidden information - has become a major threat to privacy, given the recent technological leap in machine learning.
Attacking Similarity-Based Link Prediction in Social Networks
We offer a comprehensive algorithmic investigation of the problem of attacking similarity-based link prediction through link deletion, focusing on two broad classes of such approaches, one which uses only local information about target links, and another which uses global network information.
Social and Information Networks Cryptography and Security
Attack Tolerance of Link Prediction Algorithms: How to Hide Your Relations in a Social Network
Link prediction is one of the fundamental research problems in network analysis.
Social and Information Networks Cryptography and Security 91D30 (Primary) 68T20 (Secondary) G.2.2; J.4
Hiding Individuals and Communities in a Social Network
With this in mind, we ask the question: Can individuals or groups actively manage their connections to evade social network analysis tools?
Social and Information Networks Physics and Society 91D30 (Primary) 68T20 (Secondary) G.2.2; J.4
