11 citations · 18 across the 12 of their papers we have counts for
14 papers
RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks
Mohammad Esmaeilpour, Nourhene Chaalia, Patrick Cardinal
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-edg…
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis
Mohammad Esmaeilpour, Nourhene Chaalia, Adel Abusitta +3
This paper introduces a novel generative adversarial network (GAN) for synthesizing large-scale tabular databases which contain various features such as continuous, discrete, and b…
From Environmental Sound Representation to Robustness of 2D CNN Models Against Adversarial Attacks
Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich
This paper investigates the impact of different standard environmental sound representations (spectrograms) on the recognition performance and adversarial attack robustness of a vi…
Bi-Discriminator Class-Conditional Tabular GAN
Mohammad Esmaeilpour, Nourhene Chaalia, Adel Abusitta +3
This paper introduces a bi-discriminator GAN for synthesizing tabular datasets containing continuous, binary, and discrete columns. Our proposed approach employs an adapted preproc…
Towards Robust Speech-to-Text Adversarial Attack
Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich
This paper introduces a novel adversarial algorithm for attacking the state-of-the-art speech-to-text systems, namely DeepSpeech, Kaldi, and Lingvo. Our approach is based on develo…
Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems
Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich
This paper introduces a defense approach against end-to-end adversarial attacks developed for cutting-edge speech-to-text systems. The proposed defense algorithm has four major ste…