Dev 1.14.0

[OrsonTyphanel93]

Description

Please include a summary of the change, motivation and which issue is fixed. Any dependencies changes should also be included.

Fixes # (issue)

Type of change

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• 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.

• Test A
• Test B

Test Configuration:

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• 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 (0400813) 85.60% compared to head (8c69e55) 85.37%.

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Additional details and impacted files

@@              Coverage Diff               @@
##           dev_1.18.0    #2341      +/-   ##
==============================================
- Coverage       85.60%   85.37%   -0.23%     
==============================================
  Files             324      327       +3     
  Lines           29326    30205     +879     
  Branches         5407     5589     +182     
==============================================
+ Hits            25104    25789     +685     
- Misses           2840     2966     +126     
- Partials         1382     1450      +68     

see 34 files with indirect coverage changes

[beat-buesser]

Hi @OrsonTyphanel93 Could you please add a description and title to this PR?

[OrsonTyphanel93]

The backdoor attack, TranStyBack, involves the insertion of malicious triggers (audio clapping) into audio data using digital musical effects. The triggers were generated on the basis of six different styles, each with specific parameters. These stylistic triggers are then applied to the audio data during the backdoor attack phase. The attack involves poisoning a subset of the training data, specifically up to 1% of the samples, during which the trigger is adjusted to match the duration of the audio data, ensuring correct alignment. The backdoor attack is implemented by adding the scaled trigger values to the corresponding audio samples.

[OrsonTyphanel93]

Hi @OrsonTyphanel93 Could you please add a description and title to this PR?

Stylistic Backdoors in audio data (TranStyBack)

The backdoor attack, TranStyBack, involves the insertion of malicious triggers (audio clapping) into audio data using digital musical effects. The triggers were generated on the basis of six different styles, each with specific parameters. These stylistic triggers are then applied to the audio data during the backdoor attack phase. The attack involves poisoning a subset of the training data, specifically up to 1% of the samples, during which the trigger is adjusted to match the duration of the audio data, ensuring correct alignment. The backdoor attack is implemented by adding the scaled trigger values to the corresponding audio samples.