no code implementations • 31 Oct 2019 • Michael Lomnitz, Nina Lopatina, Paul Gamble, Zigfried Hampel-Arias, Lucas Tindall, Felipe A. Mejia, Maria Alejandra Barrios
It is critical to understand the privacy and robustness vulnerabilities of machine learning models, as their implementation expands in scope.
no code implementations • 15 Jun 2019 • Felipe A. Mejia, Paul Gamble, Zigfried Hampel-Arias, Michael Lomnitz, Nina Lopatina, Lucas Tindall, Maria Alejandra Barrios
Adversarial training was introduced as a way to improve the robustness of deep learning models to adversarial attacks.