Graph Poisoning for Node Rank Manipulation

Seyed Mohammad Hosseini, Radin Hamidi Rad, Morteza Zihayat, Ebrahim Bagheri
January 2026

Abstract

This paper investigates graph poisoning attacks designed to manipulate node rankings in graph-based systems, examining vulnerabilities in ranking algorithms and proposing defense mechanisms.

Type
Conference paper
Publication
Proceedings of the ACM Web Conference

This work studies how graph poisoning attacks can be used to manipulate node rankings and proposes countermeasures.

Graph Algorithms Security Adversarial Attacks Node Ranking Graph Mining
Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.