GREAT Score: Global Robustness Evaluation of Adversarial Perturbation
using Generative Models

GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models

19 April 2023

Tsung-Yi Ho

Papers citing "GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models"

4 / 4 papers shown

Title
Globally-Robust Neural Networks Klas Leino Zifan Wang Matt Fredrikson AAML OOD 80 125 0 16 Feb 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 217 675 0 19 Oct 2020
Statistical guarantees for generative models without domination Nicolas Schreuder Victor-Emmanuel Brunel A. Dalalyan GAN 57 34 0 19 Oct 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 222 1,835 0 03 Feb 2017