A realistic model extraction attack against graph neural networks
Abstract Model extraction attacks are considered to be a significant avenue of vulnerability in
machine learning. In model extraction attacks, the attacker repeatedly queries a victim model …
machine learning. In model extraction attacks, the attacker repeatedly queries a victim model …
VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional Spaces
In the domain of black-box model extraction, conventional methods reliant on soft labels or
surrogate datasets struggle with scaling to high-dimensional input spaces and managing the …
surrogate datasets struggle with scaling to high-dimensional input spaces and managing the …