Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability. - Mahmoud Hossam; Trung Le 001; He Zhao 001; Dinh Phung 001 (ICPR, 2020)

OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. - Mahmoud Hossam; Trung Le 001; Viet Huynh; Michael Papasimeon; Dinh Phung 001 (IJCNN, 2020)

Improved and Efficient Text Adversarial Attacks using Target Information. - Mahmoud Hossam; Trung Le 001; He Zhao 001; Viet Huynh; Dinh Phung 001 (CoRR, 2021)

Text Generation with Deep Variational GAN. - Mahmoud Hossam; Trung Le 001; Michael Papasimeon; Viet Huynh; Dinh Phung 001 (CoRR, 2021)

High Performance Hyperspectral Image Classification using Graphics Processing Units. - Mahmoud Hossam (CoRR, 2021)

Deep Sequence Models: Learning to Generate Data and Adversarial Attacks. - Mahmoud Hossam (2021)

Fine-tuning Protein Language Models with Deep Mutational Scanning improves Variant Effect Prediction. - Aleix Lafita; Ferran Gonzalez; Mahmoud Hossam; Paul Smyth; Jacob Deasy; Ari Allyn-Feuer; Daniel Seaton; Stephen Young (CoRR, 2024)