mimicus | A library for adversarial classifier evasion

by srndic Python Version: Current License: GPL-3.0

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

kandi X-RAY | mimicus Summary

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

A library for adversarial classifier evasion

Support

Quality

Security

License

Reuse

Support

mimicus has a low active ecosystem.

It has 34 star(s) with 20 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 753 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mimicus is current.

Quality

mimicus has 0 bugs and 0 code smells.

Security

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

mimicus code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mimicus is licensed under the GPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

mimicus 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.

mimicus saves you 1217 person hours of effort in developing the same functionality from scratch.

It has 2741 lines of code, 293 functions and 32 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Submit a query to the server
Return the full path to query for a file
Return the path to reply to the file
Parse the configuration file
Make a directory
Performs a mimicry
Return the decision function
Compute the decision function
Compute the gradient of the SVM
Calculate the gradient of the kernel density
Read a reply from a file
Extract the features from a PDF file
Standardize csv files
Convert a CSV file to a numpy array
Convert numpy array to csv
Train the model
Get a report
Invokes a curl command
Get the metadata for a given hash
Submit a file

Get all kandi verified functions for this library.

mimicus Key Features

No Key Features are available at this moment for mimicus.

mimicus Examples and Code Snippets

No Code Snippets are available at this moment for mimicus.

Community Discussions

No Community Discussions are available at this moment for mimicus.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install mimicus

You can download it from GitHub.
You can use mimicus like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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