Mohammad Esmaeilpour

Orcid: 0000-0001-6445-216X

Affiliations:
  • University of Québec, Montréal, Canada


According to our database1, Mohammad Esmaeilpour authored at least 21 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

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Bibliography

2022
Multidiscriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems.
IEEE Trans. Inf. Forensics Secur., 2022

RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks.
IEEE Signal Process. Lett., 2022

Bi-discriminator GAN for tabular data synthesis.
Pattern Recognit. Lett., 2022

RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis.
CoRR, 2022

From Environmental Sound Representation to Robustness of 2D CNN Models Against Adversarial Attacks.
CoRR, 2022

Towards Robust Speech-to-Text Adversarial Attack.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Cyclic Defense GAN Against Speech Adversarial Attacks.
IEEE Signal Process. Lett., 2021

Bi-Discriminator Class-Conditional Tabular GAN.
CoRR, 2021

Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems.
CoRR, 2021

Class-Conditional Defense GAN Against End-To-End Speech Attacks.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
A Robust Approach for Securing Audio Classification Against Adversarial Attacks.
IEEE Trans. Inf. Forensics Secur., 2020

Conditioning Trick for Training Stable GANs.
CoRR, 2020

Improving Stability of LS-GANs for Audio and Speech Signals.
CoRR, 2020

From Sound Representation to Model Robustness.
CoRR, 2020

Unsupervised feature learning for environmental sound classification using Weighted Cycle-Consistent Generative Adversarial Network.
Appl. Soft Comput., 2020

Cross-Representation Transferability of Adversarial Attacks: From Spectrograms to Audio Waveforms.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adversarially Training for Audio Classifiers.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Detection of Adversarial Attacks and Characterization of Adversarial Subspace.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Cross-Representation Transferability of Adversarial Perturbations: From Spectrograms to Audio Waveforms.
CoRR, 2019

Unsupervised Feature Learning for Environmental Sound Classification Using Cycle Consistent Generative Adversarial Network.
CoRR, 2019

2015
Regularized logistic regression algorithm learns progressive sweep algorithm.
Proceedings of the 2015 International Conference on Image and Vision Computing New Zealand, 2015


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