Mitigating Cascading Effects in Large Adversarial Graph Environments

arXiv:2404.14418v1 Announce Type: cross
Abstract: A significant amount of society's infrastructure can be modeled using graph structures, from electric and communication grids, to traffic networks, to social networks. Each of these domains are also susceptible to the cascading spread of negative impacts, whether this be overloaded devices in the power grid or the reach of a social media post containing misinformation. The potential harm of a cascade is compounded when considering a malicious attack by an adversary that is intended …

abstract adversarial arxiv communication cs.ai cs.lg cs.ma cs.si devices domains effects electric environments graph grid impacts infrastructure negative networks power social social networks society traffic type