A systematic evaluation of adversarial attacks against speech emotion recognition models

Source code for the paper "A systematic evaluation of adversarial attacks against speech emotion recognition models" [Submitted]

Set up

Use conda and the environment file provided

attacks.ipynb: Run the attacks and the evaluation
correleations_analysis.ipynb: Perform preliminary analysis on the datasets for identifying most correlated classes
datasets_preprocessing_phase1.ipynb: Perform pre-processing (step 1)
datasets_preprocessing_phase2.ipynb: Perform pre-processing (step 2), including data augmentation
datasets_sr_test.ipynb:
data_visualization.ipynb:
defenses-Copy1.ipynb:
defenses.ipynb:
hyperparameter_optimization-Copy1.ipynb:
hyperparameter_optimization.ipynb: Perform the hyper-parameter fine-tuning
image_specotrograms.ipynb: Create images and audio of original and attacked samples
metadata_preparation.ipynb:
model_CNN_LSTM.ipynb: Create the models
preprocessing_comparison.ipynb:
random_guess_dummy_classifier.ipynb: Run a random guessing classifier on the data

Here are some audio as examples of the original and attacked samples.

[TODO]

Name		Name	Last commit message	Last commit date
Latest commit History 56 Commits
audio_examples		audio_examples
.gitignore		.gitignore
README.md		README.md
attacks.ipynb		attacks.ipynb
correleations_analysis.ipynb		correleations_analysis.ipynb
data_visualization.ipynb		data_visualization.ipynb
datasets_preprocessing_phase1.ipynb		datasets_preprocessing_phase1.ipynb
datasets_preprocessing_phase2.ipynb		datasets_preprocessing_phase2.ipynb
datasets_sr_test.ipynb		datasets_sr_test.ipynb
defenses-Copy1.ipynb		defenses-Copy1.ipynb
defenses.ipynb		defenses.ipynb
envname.yml		envname.yml
hyperparameter_optimization-Copy1.ipynb		hyperparameter_optimization-Copy1.ipynb
hyperparameter_optimization.ipynb		hyperparameter_optimization.ipynb
image_specotrograms.ipynb		image_specotrograms.ipynb
metadata_preparation.ipynb		metadata_preparation.ipynb
model_CNN_LSTM.ipynb		model_CNN_LSTM.ipynb
preprocessing_comparison.ipynb		preprocessing_comparison.ipynb
random_guess_dummy_classifier.ipynb		random_guess_dummy_classifier.ipynb