Search Results for author: Ngoc-Bao Nguyen

Found 5 papers, 3 papers with code

Model Inversion Robustness: Can Transfer Learning Help?

no code implementations9 May 2024 Sy-Tuyen Ho, Koh Jun Hao, Keshigeyan Chandrasegaran, Ngoc-Bao Nguyen, Ngai-Man Cheung

Model Inversion (MI) attacks aim to reconstruct private training data by abusing access to machine learning models.

Transfer Learning

On Data Augmentation for GAN Training

1 code implementation9 Jun 2020 Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Trung-Kien Nguyen, Ngai-Man Cheung

We provide theoretical analysis to show that using our proposed DAG aligns with the original GAN in minimizing the Jensen-Shannon (JS) divergence between the original distribution and model distribution.

Data Augmentation

An Improved Self-supervised GAN via Adversarial Training

no code implementations14 May 2019 Ngoc-Trung Tran, Viet-Hung Tran, Ngoc-Bao Nguyen, Ngai-Man Cheung

Importantly, we find out that simultaneously training the discriminator to classify the fake class from the pseudo-classes of real samples for the classification task will improve the discriminator and subsequently lead better guides to train generator.

Classification General Classification +1

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