whyisyoung / CADE

Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

Date Created 2020-09-21 (3 years ago)

Commits 13 (last one about a year ago)

Stargazers 118 (0 this week)

Watchers 3 (0 this week)

Forks 35

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RepositoryStats indexes 534,551 repositories, of these whyisyoung/CADE is ranked #243,564 (54th percentile) for total stargazers, and #398,999 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #43,589/103,470.

whyisyoung/CADE is also tagged with popular topics, for these it's ranked: machine-learning (#4,089/7371), tensorflow (#1,344/2165), artificial-intelligence (#1,001/1822), keras (#429/762), explainable-ai (#61/154), interpretability (#71/145)

Other Information

whyisyoung/CADE has Github issues enabled, there is 1 open issue and 2 closed issues.

Homepage URL: https://liminyang.web.illinois.edu

All Topics

ids mlp xai keras drebin ids2018 tensorflow autoencoder explanation concept-drift explainable-ai explainable-ml interpretability machine-learning contrastive-learning artificial-intelligence self-supervised-learning machine-learning-security

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4 commits on the default branch (master) since jan '22

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updated: 2024-06-24 @ 10:23pm, id: 297269159 / R_kgDOEbf3pw