Adversarial Attacks Assessment of Salient Object Detection via Symbolic Learning

no code implementations • 12 Sep 2023 • Gustavo Olague, Roberto Pineda, Gerardo Ibarra-Vazquez, Matthieu Olague, Axel Martinez, Sambit Bakshi, Jonathan Vargas, Isnardo Reducindo

We test this evolutionary computation methodology against several adversarial attacks and noise perturbations using standard databases and a real-world problem of a shorebird called the Snowy Plover portraying a visual attention task.

object-detection Object Detection +1

A Deep Genetic Programming based Methodology for Art Media Classification Robust to Adversarial Perturbations

no code implementations • 3 Oct 2020 • Gustavo Olague, Gerardo Ibarra-Vazquez, Mariana Chan-Ley, Cesar Puente, Carlos Soubervielle-Montalvo, Axel Martinez

Therefore, this work presents a Deep Genetic Programming method, called Brain Programming, that competes with deep learning and studies the transferability of adversarial attacks using two artworks databases made by art experts.

Adversarial Attack General Classification