Add Hugging Face Demo Notebooks

[f4str]

Description

Add additional notebooks demonstrating how to perform evasion and poisoning attacks on Hugging Face image classification models. The notebooks/README.md was also updated accordingly.

Fixes # N/A

Type of change

Please check all relevant options.

• Improvement (non-breaking)
• Bug fix (non-breaking)
• New feature (non-breaking)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

Testing

Please describe the tests that you ran to verify your changes. Consider listing any relevant details of your test configuration.

• N/A

Test Configuration:

• OS
• Python version
• ART version or commit number
• TensorFlow / Keras / PyTorch / MXNet version

Checklist

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• I have added tests that prove my fix is effective or that my feature works
• New and existing unit tests pass locally with my changes
• My changes have been tested using both CPU and GPU devices

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (48f2d81) 85.30% compared to head (43b4316) 85.39%.

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Additional details and impacted files

@@            Coverage Diff             @@
##             main    #2347      +/-   ##
==========================================
+ Coverage   85.30%   85.39%   +0.08%     
==========================================
  Files         327      327              
  Lines       30205    30205              
  Branches     5589     5589              
==========================================
+ Hits        25767    25794      +27     
+ Misses       2987     2963      -24     
+ Partials     1451     1448       -3     

see 4 files with indirect coverage changes

[beat-buesser]

Hi @f4str Thank you very much for your pull request!