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RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks
This paper introduces a new synthesis-based defense algorithm for counteracting with a varieties of adversarial attacks developed for challenging the performance of the cutting-edge speech-to-text transcription systems.
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis
We refer to this noble definition as compound conditional vector and employ it for training the generator network.
Bi-Discriminator Class-Conditional Tabular GAN
This paper introduces a bi-discriminator GAN for synthesizing tabular datasets containing continuous, binary, and discrete columns.
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