We 1) design two strategies to generate watermarked data for the graph classification and one for the node classification task, 2) embed the watermark into the host model through training to obtain the watermarked GNN model, and 3) verify the ownership of the suspicious model in a black-box setting.
We consider the setting where the attacker can access an ATM PIN pad of the same brand/model as the target one.
In such an attack, the third party training the model may maliciously inject hidden behaviors into the model.
Reversible Cellular Automata (RCA) are a particular kind of shift-invariant transformations characterized by a dynamics composed only of disjoint cycles.
This paper investigates the influence of genotype size on evolutionary algorithms' performance.
1 code implementation • 1 Dec 2020 • Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans Oliehoek, Annibale Panichella, Przemyslaw Pawelczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert
We present ReproducedPapers. org: an open online repository for teaching and structuring machine learning reproducibility.
Genetic programming is an often-used technique for symbolic regression: finding symbolic expressions that match data from an unknown function.
Tasks related to Natural Language Processing (NLP) have recently been the focus of a large research endeavor by the machine learning community.
In the second experiment, we train a GP convolutional predictor on two degraded images, removing around 20% of their pixels.