imrahulr / adversarial_robustness_pytorch

Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch

imrahulr
imrahulr
Date Created 2021-06-27 (3 years ago)
Commits 7 (last one 2 years ago)
Stargazers 90 (0 this week)
Watchers 2 (0 this week)
Forks 11
License mit
Ranking

RepositoryStats indexes 565,279 repositories, of these imrahulr/adversarial_robustness_pytorch is ranked #304,154 (46th percentile) for total stargazers, and #467,523 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #56,047/111,292.

imrahulr/adversarial_robustness_pytorch is also tagged with popular topics, for these it's ranked: deep-learning (#5,180/8171),  pytorch (#3,665/5822)

Other Information

imrahulr/adversarial_robustness_pytorch has Github issues enabled, there are 2 open issues and 2 closed issues.

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

0 commits on the default branch (main) since jan '22

Inactive

No recent commits to this repository

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The only known language in this repository is Python

updated: 2024-09-03 @ 02:12pm, id: 380750790 / R_kgDOFrHLxg