A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods. - Sam Strecker; Rushit Dave; Nyle Siddiqui; Naeem Seliya (CoRR, 2021)

Continuous Authentication Using Mouse Movements, Machine Learning, and Minecraft. - Nyle Siddiqui; Rushit Dave; Naeem Seliya (CoRR, 2021)

The Benefits of Edge Computing in Healthcare, Smart Cities, and IoT. - Rushit Dave; Naeem Seliya; Nyle Siddiqui (CoRR, 2021)

A Robust Framework for Deep Learning Approaches to Facial Emotion Recognition and Evaluation. - Nyle Siddiqui; Thomas Reither; Rushit Dave; Dylan Black; Tyler Bauer; Mitchell Hanson (CACML, 2022)

Continuous User Authentication Using Machine Learning and Multi-finger Mobile Touch Dynamics with a Novel Dataset. - Zachary Deridder; Nyle Siddiqui; Thomas Reither; Rushit Dave; Brendan Pelto; Mounika Vanamala; Naeem Seliya (ISCMI, 2022)

Mitigating Presentation Attack using DCGAN and Deep CNN. - Nyle Siddiqui; Rushit Dave (CoRR, 2022)

Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication. - Nyle Siddiqui; Rushit Dave; Mounika Vanamala; Naeem Seliya (Mach. Learn. Knowl. Extr., 2022)

DVANet: Disentangling View and Action Features for Multi-View Action Recognition. - Nyle Siddiqui; Praveen Tirupattur; Mubarak Shah (AAAI, 2024)

DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-Id. - Nyle Siddiqui; Florinel-Alin Croitoru; Gaurav Kumar Nayak; Radu Tudor Ionescu; Mubarak Shah (WACV, 2025)

ImplicitQA: Going beyond frames towards Implicit Video Reasoning. - Sirnam Swetha; Rohit Gupta 012; Parth Parag Kulkarni; David G. Shatwell; Jeffrey A. Chan-Santiago; Nyle Siddiqui; Joseph Fioresi; Mubarak Shah (CoRR, 2025)