whyisyoung / CADE

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

Date Created 2020-09-21 (4 years ago)

Commits 13 (last one about a year ago)

Stargazers 131 (0 this week)

Watchers 3 (0 this week)

Forks 34

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RepositoryStats indexes 595,856 repositories, of these whyisyoung/CADE is ranked #244,686 (59th percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #44,851/119,431.

whyisyoung/CADE is also tagged with popular topics, for these it's ranked: machine-learning (#4,156/8063), tensorflow (#1,314/2255), artificial-intelligence (#1,056/2113), keras (#416/794), explainable-ai (#59/171), interpretability (#73/169)

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: 2024-12-11 @ 08:46pm, id: 297269159 / R_kgDOEbf3pw