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Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
Graph Neural Networks (GNNs) are recognized as potent tools for processing real-world data organized in graph structures.
Multiagent Model-based Credit Assignment for Continuous Control
By formulating robotic components as a system of decentralised agents, this work presents a decentralised multiagent reinforcement learning framework for continuous control.
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
