dailyai.report

A new theoretical framework reduces the adversarial robustness problem to a lattice traversal problem. Researchers use axis-aligned hyper-rectangles to define sound and complete certifications for multilayered perceptrons. This approach provides a rigorous method to verify if input perturbations change a classifier's prediction.