Multidiscriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems.

RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks.

Bi-discriminator GAN for tabular data synthesis.

RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis.

From Environmental Sound Representation to Robustness of 2D CNN Models Against Adversarial Attacks.

Cyclic Defense GAN Against Speech Adversarial Attacks.

Bi-Discriminator Class-Conditional Tabular GAN.

Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems.

A Robust Approach for Securing Audio Classification Against Adversarial Attacks.

Conditioning Trick for Training Stable GANs.

Improving Stability of LS-GANs for Audio and Speech Signals.

From Sound Representation to Model Robustness.

Unsupervised feature learning for environmental sound classification using Weighted Cycle-Consistent Generative Adversarial Network.

Cross-Representation Transferability of Adversarial Perturbations: From Spectrograms to Audio Waveforms.

Unsupervised Feature Learning for Environmental Sound Classification Using Cycle Consistent Generative Adversarial Network.