Closed lukas-schott closed 5 years ago
This looks great -- thank you for the submission! I'll take a look at it and try to update the website sometime in the next few days (after NeurIPS).
Thanks again for the submission -- merged in ef26ecb8dbc53bc41235b1a80d2c8b6972990b2a!
Name: Towards the first adversarially robust neural network model on MNIST
Authors: Lukas Schott, Jonas Rauber, Matthias Bethge, Wieland Brendel
Paper: https://arxiv.org/pdf/1805.09190.pdf
Code: https://github.com/bethgelab/AnalysisBySynthesis
Venue: 2018 NeurIPS Security Workshop
Does the code implement the robust-ml API and include pre-trained models: yes
Dataset: MNIST
Threat model: L2 (\epsilon = 1.5)
Natural accuracy: 99%
Claims: 80%