GitHub topics: certified-defense
L1n111ya/Certified-Watermarking
Language: Python - Size: 216 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

sungyoon-lee/LossLandscapeMatters
[NeurIPS 2021] Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples | ⛰️⚠️
Language: Python - Size: 113 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 2

damon-demon/Black-Box-Defense
Robustify Black-Box Models (ICLR'22 - Spotlight)
Language: Python - Size: 159 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 4

zbh2047/L_inf-dist-net-v2
[ICLR 2022] Training L_inf-dist-net with faster acceleration and better training strategies
Language: Cuda - Size: 298 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 16 - Forks: 3

sungyoon-lee/bcp
[NeurIPS 2020] Lipschitz-Certifiable Training with a Tight Outer Bound | BCP (Box Constraint Propagation) | ⚡💪🛡️
Language: Jupyter Notebook - Size: 20.1 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 1
