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cs.CV2026
RBF-GNN: Rational Basis Functions for Pseudo-Coordinate based Graph Convolutions
Paweł Batorski, Abtin Pourhadi, Paul Swoboda
We propose RBF-GNN, a new pseudo-coordinate based graph neural network architecture that takes into account Euclidean, spherical or angular coordinates and uses them to induce a po…
cs.CV2026
ReLAPSe: Reinforcement-Learning-trained Adversarial Prompt Search for Erased concepts in unlearned diffusion models
Ignacy Kolton, Kacper Marzol, Paweł Batorski +3
Machine unlearning is a key defense mechanism for removing unauthorized concepts from text-to-image diffusion models, yet recent evidence shows that latent visual information often…