Fake users can poison local differential privacy graph collection by sending crafted adjacency vectors, inflating degree centrality and clustering coefficient estimates for chosen targets.
Available: https://github.com/hahahumble/ DPA2Graphs/blob/main/TechnicalReport.pdf
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Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs
Fake users can poison local differential privacy graph collection by sending crafted adjacency vectors, inflating degree centrality and clustering coefficient estimates for chosen targets.