ZOO-Attack | Zeroth Order Optimization based Black-box Attacks

by huanzhang12 Python Version: 0.1 License: Non-SPDX

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

kandi X-RAY | ZOO-Attack Summary

ZOO-Attack is a Python library. ZOO-Attack has no vulnerabilities and it has low support. However ZOO-Attack has 1 bugs, it build file is not available and it has a Non-SPDX License. You can download it from GitHub.

As requested by IBM, this repository is moved to but we aim to keep both repositories synced up. The code is released under Apache License v2. ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks.

Support

Quality

Security

License

Reuse

Support

ZOO-Attack has a low active ecosystem.

It has 123 star(s) with 40 fork(s). There are 7 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 2 have been closed. On average issues are closed in 48 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ZOO-Attack is 0.1

Quality

ZOO-Attack has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 142 code smells.

Security

ZOO-Attack has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ZOO-Attack code analysis shows 0 unresolved vulnerabilities.

There are 14 security hotspots that need review.

License

ZOO-Attack has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

ZOO-Attack releases are available to install and integrate.

ZOO-Attack has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

ZOO-Attack saves you 1435 person hours of effort in developing the same functionality from scratch.

It has 3206 lines of code, 104 functions and 18 files.

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

Top functions reviewed by kandi - BETA

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

Blackbox test
Train the substitution function
Prepare the blackbox model
Setup TF tutorial
Runs attack on an image
Blackbox algorithm
Calculates the probability for a given previous permutation
Performs a max pooling on an image
Create model information
Adds input_distortions
Creates a list of image lists
Retrieves a list of bottleneck_truths
Adds the final training tensors
Train the model
Return a list of bottleneck_truths for each image
Runs inference on an image
Cache bottleneck images
Trains the given data
Download and extract a tarball
Adds JPEG encoding
Create a tensorflow graph
Compute the evaluation step
Predict the prediction
Determines whether the image should distort
Run the attack
Test the attack batch
Run the attack

Get all kandi verified functions for this library.

ZOO-Attack Key Features

No Key Features are available at this moment for ZOO-Attack.

ZOO-Attack Examples and Code Snippets

No Code Snippets are available at this moment for ZOO-Attack.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install ZOO-Attack

You can download it from GitHub.
You can use ZOO-Attack 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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