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Adversarial Robustness Toolbox

Last fetched

Adversarial Robustness Toolbox is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under machine learning, with a published adopter count of 25 hostnames.

Profile

Category
machine learning
Broader grouping
software development
Published adopter count
25
Vendor
adversarial-robustness-toolbox.org

Adversarial Robustness Toolbox (ART) is a Python library designed for evaluating, defending, and verifying machine learning models against adversarial threats. It provides a collection of tools that support various machine learning frameworks such as TensorFlow, Keras, and PyTorch, among others. ART includes multiple attack and defense modules, enabling users to mitigate risks associated with model vulnerabilities. This open-source project, originally initiated by IBM and later donated to the LF AI & Data Foundation, is aimed at enhancing the security of machine learning applications.

Vendor site: https://adversarial-robustness-toolbox.org

Sample adopters

20 hostnames WhisperGraph observed running Adversarial Robustness Toolbox, a sample of the 25 published adopters.

Related pages

Pivot from Adversarial Robustness Toolbox into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
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