Robustify Black-Box Models (ICLR'22 - Spotlight)
-
Updated
Jan 29, 2023 - Python
Robustify Black-Box Models (ICLR'22 - Spotlight)
[ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies
[NeurIPS 2020] Lipschitz-Certifiable Training with a Tight Outer Bound | BCP (Box Constraint Propagation) | ⚡💪🛡️
[NeurIPS 2021] Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples | ⛰️
Add a description, image, and links to the certified-defense topic page so that developers can more easily learn about it.
To associate your repository with the certified-defense topic, visit your repo's landing page and select "manage topics."