Deep learning approach to detect malicious attacks at system level: poster. - Jayesh Soni; Nagarajan Prabakar; Himanshu Upadhyay (WiSec, 2019)

Learning-based models to detect runtime phishing activities using URLs. - Surya Srikar Sirigineedi; Jayesh Soni; Himanshu Upadhyay (ICCDA, 2020)

KeyNet: Enhancing Cybersecurity with Deep Learning-Based LSTM on Keystroke Dynamics for Authentication. - Jayesh Soni; Nagarajan Prabakar (ICHI, 2021)

Identifying Groups of Fake Reviewers Using a Semisupervised Approach. - Punit Rathore; Jayesh Soni; Nagarajan Prabakar; Marimuthu Palaniswami; Paolo Santi (IEEE Trans. Comput. Soc. Syst., 2021)

Ada-Thres: An Adaptive Thresholding Method To Mitigate The False Alarms. - Jayesh Soni; Nagarajan Prabakar; Himanshu Upadhyay (CSCI, 2022)

A Multi-layered Deep Learning Approach for Human Stress Detection. - Jayesh Soni; Nagarajan Prabakar; Himanshu Upadhyay (ICHI, 2022)

Vision Transformer-Based Emotion Detection in HCI for Enhanced Interaction. - Jayesh Soni; Nagarajan Prabakar; Himanshu Upadhyay (IHCI (1), 2023)

AI-based detection and identification of low-level nuclear waste: a comparative analysis. - Aris Duani Rojas; Leonel E. Lagos; Himanshu Upadhyay; Jayesh Soni; Nagarajan Prabakar (Neural Comput. Appl., 2024)

Evaluating Text-Image Alignment using Gecko2K. - Aakarsh Etar; Jayesh Soni; Himanshu Upadhyay (ICAIC, 2025)

Quantum Long Sort-Term Memory-based Identification of Distributed Denial of Service Attacks. - Sarvapriya Tripathi; Himanshu Upadhyay; Jayesh Soni (ICAIC, 2025)

Evaluating Generative AI Models for Image-Text Modification. - Jayesh Soni; Himanshu Upadhyay; Prince Patrick Anand Victor; Sarvapriya Tripathi (IEEE Access, 2025)

A Quantum LSTM-based approach to cyber threat detection in virtual environment. - Sarvapriya Tripathi; Himanshu Upadhyay; Jayesh Soni (J. Supercomput., 2025)