TextualAdversarialAttack-Tianchi | 天池竞赛安全AI挑战者计划第三期 - 文本分类对抗攻击线上排名12/1175 &“最佳奇思妙想奖”

by sfzhou5678 Python Version: Current License: No License

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

kandi X-RAY | TextualAdversarialAttack-Tianchi Summary

TextualAdversarialAttack-Tianchi is a Python library. TextualAdversarialAttack-Tianchi has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

天池竞赛安全AI挑战者计划第三期 - 文本分类对抗攻击线上排名12/1175 &“最佳奇思妙想奖”

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Quality

Security

License

Reuse

Support

TextualAdversarialAttack-Tianchi has a low active ecosystem.

It has 66 star(s) with 13 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TextualAdversarialAttack-Tianchi is current.

Quality

TextualAdversarialAttack-Tianchi has 0 bugs and 0 code smells.

Security

TextualAdversarialAttack-Tianchi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

TextualAdversarialAttack-Tianchi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

TextualAdversarialAttack-Tianchi does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

TextualAdversarialAttack-Tianchi 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 are not available. Examples and code snippets are available.

TextualAdversarialAttack-Tianchi saves you 1482 person hours of effort in developing the same functionality from scratch.

It has 3305 lines of code, 169 functions and 39 files.

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

Top functions reviewed by kandi - BETA

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

Run the attack on the given texts
Calculate the final score
Transform a word
Append preprocessed tokens to candidate_tokens
Removes whitespace from text
Run the attack
Performs rule - based transformation
Preprocessed TransformedTas
Generate a set of TaaT samples
Evaluate a running model
Do attack
Transforms a single word
Get LmRanker
Get a Bertener model from a BERT
Creates a FastTextInferenceModel from ck
Apply transformation to tokens
Transform token to token
Calculate probability for each candidate
Compute the probability for a given character
Remove whitespace from text
Preprocess examples
Performs multi - pointer transformation
Load a pickle file
Transforms a list of tokens
Transform the target_token into a string
Wrapper for warmup

Get all kandi verified functions for this library.

TextualAdversarialAttack-Tianchi Key Features

No Key Features are available at this moment for TextualAdversarialAttack-Tianchi.

TextualAdversarialAttack-Tianchi Examples and Code Snippets

No Code Snippets are available at this moment for TextualAdversarialAttack-Tianchi.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install TextualAdversarialAttack-Tianchi

You can download it from GitHub.
You can use TextualAdversarialAttack-Tianchi 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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