GitHub / nthu-datalab / Runtime-Masking-and-Cleansing
Code for "Adversarial Robustness via Runtime Masking and Cleansing" (ICML 2020)
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nthu-datalab%2FRuntime-Masking-and-Cleansing
PURL: pkg:github/nthu-datalab/Runtime-Masking-and-Cleansing
Stars: 8
Forks: 0
Open issues: 2
License: apache-2.0
Language: Jupyter Notebook
Size: 2.48 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: over 2 years ago
Pushed at: over 2 years ago
Last synced at: over 1 year ago
Topics: adversarial-attacks, adversarial-defense, adversarial-learning, convolutional-neural-networks, icml-2020, neural-network, robust-learning, security, tensorflow2