HoneyCode: Automating Deceptive Software Repositories with Deep Generative Models. - David D. Nguyen; David Liebowitz; Surya Nepal; Salil S. Kanhere (HICSS, 2021)

Diverse Multimedia Layout Generation with Multi Choice Learning. - David D. Nguyen; Surya Nepal; Salil S. Kanhere (ACM Multimedia, 2021)

Is This IoT Device Likely to Be Secure? Risk Score Prediction for IoT Devices Using Gradient Boosting Machines. - Carlos A. Rivera Alvarez; Arash Shaghaghi; David D. Nguyen; Salil S. Kanhere (MobiQuitous, 2021)

Deception for Cyber Defence: Challenges and Opportunities. - David Liebowitz; Surya Nepal; Kristen Moore; Cody James Christopher; Salil S. Kanhere; David D. Nguyen; Roelien C. Timmer; Michael Longland; Keerth Rathakumar (TPS-ISA, 2021)

Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions. - David D. Nguyen; David Liebowitz; Salil S. Kanhere; Surya Nepal (AAAI, 2024)

Contextual Chart Generation for Cyber Deception. - David D. Nguyen; David Liebowitz; Surya Nepal; Salil S. Kanhere; Sharif Abuadbba (CoRR, 2024)

Generative Models for Synthetic Documents and Embedded Figures. - David D. Nguyen (2024)

What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation? - Erik Buchholz; Natasha Fernandes; David D. Nguyen; Alsharif Abuadbba; Surya Nepal; Salil S. Kanhere (CoRR, 2025)