adversarial_genattack | paper GenAttack : Practical Black

by nesl Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | adversarial_genattack Summary

adversarial_genattack is a Python library. adversarial_genattack has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This repo has an implemntation for our paper GenAttack: Practical Black-box Attacks with Gradient-Free Optimization.

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Quality

Security

License

Reuse

Support

adversarial_genattack has a low active ecosystem.

It has 40 star(s) with 14 fork(s). There are 20 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 124 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of adversarial_genattack is current.

Quality

adversarial_genattack has 0 bugs and 0 code smells.

Security

adversarial_genattack has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

adversarial_genattack code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

adversarial_genattack is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

adversarial_genattack releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed adversarial_genattack and discovered the below as its top functions. This is intended to give you an instant insight into adversarial_genattack implemented functionality, and help decide if they suit your requirements.

Add result
Save an image
Compute the l - inf distance between two images
Compute the distance between two images
Run inference on an image
Create a graph from saved graph_def
Convert a node ID to a string
Performs an attack step
Perform mutation mutation operation
Load a batch file
Close the results file
Runs the attack
Train the model
Predict the model
Predict prediction
Download and extract the model
Generate training data
Creates a graph from saved graph_def
Return a string representation of a node id

Get all kandi verified functions for this library.

adversarial_genattack Key Features

No Key Features are available at this moment for adversarial_genattack.

adversarial_genattack Examples and Code Snippets

No Code Snippets are available at this moment for adversarial_genattack.

Community Discussions

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Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install adversarial_genattack

Install the required libraries:.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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