adversarial_lab

Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.

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52 Stars

16 Forks

52 Watchers

Jupyter Notebook Language

Cost to Build

$579.5K

Market Value

$856.9K

How is this calculated?

Growth over time

7 data points · 2021-08-01 → 2023-06-01

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What is the dsgiitr/adversarial_lab GitHub project? Description: "Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone adversarial_lab

Clone via HTTPS

git clone https://github.com/dsgiitr/adversarial_lab.git

Clone via SSH

[email protected]:dsgiitr/adversarial_lab.git

Download ZIP

Download master.zip

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