Sentiment Analysis on Interview Transcripts: An application of NLP for Quantitative Analysis. - Manojkumar Parmar; Bhanurekha Maturi; Jhuma Mallik Dutt; Hrushikesh Phate (ICACCI, 2018)

Production Challenges of Distributed Ledger Technology (DLT) based Enterprise Applications. - Arnab Chatterjee; Manojkumar Parmar; Yash Pitroda (ISSE, 2019)

Dynamic Role-Based Access Control for Decentralized Applications. - Arnab Chatterjee; Yash Pitroda; Manojkumar Parmar (ICBC, 2020)

Eigenvector Component Calculation Speedup over NumPy for High Performance Computing. - Shrey Dabhi; Manojkumar Parmar (CoRR, 2020)

A Novel Framework for Selection of GANs for an Application. - Tanya Motwani; Manojkumar Parmar (CoRR, 2020)

Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms. - Shrey Dabhi; Kartavya Soni; Utkarsh Patel; Priyanka Sharma; Manojkumar Parmar (CoRR, 2020)

NodeNet: A Graph Regularised Neural Network for Node Classification. - Shrey Dabhi; Manojkumar Parmar (CoRR, 2020)

Mapping of Real World Problems to Nature Inspired Algorithm using Goal based Classification and TRIZ. - Palak Sukharamwala; Manojkumar Parmar (CoRR, 2020)

Virtual SAR: A Synthetic Dataset for Deep Learning based Speckle Noise Reduction Algorithms. - Shrey Dabhi; Kartavya Soni; Utkarsh Patel; Priyanka Sharma; Manojkumar Parmar (IEEE DataPort, 2020)

Emerging AI Security Threats for Autonomous Cars - Case Studies. - Shanthi Lekkala; Tanya Motwani; Manojkumar Parmar; Amit Phadke (CoRR, 2021)

Critical Checkpoints for Evaluating Defence Models Against Adversarial Attack and Robustness. - Kanak Tekwani; Manojkumar Parmar (CoRR, 2022)

Data-Free Model Extraction Attacks in the Context of Object Detection. - Harshit Shah; Aravindhan G; Pavan Kulkarni; Yuvaraj Govindarajulu; Manojkumar Parmar (ICVS, 2023)

Targeted Attacks on Timeseries Forecasting. - Yuvaraj Govindarajulu; Avinash Amballa; Pavan Kulkarni; Manojkumar Parmar (CoRR, 2023)

On the notion of Hallucinations from the lens of Bias and Validity in Synthetic CXR Images. - Gauri Bhardwaj; Yuvaraj Govindarajulu; Sundaraparipurnan Narayanan; Pavan Kulkarni; Manojkumar Parmar (CoRR, 2023)

Evasion Attacks on Object Detection Models using Attack Transferability. - Arjun E. R. R; Pavan Kulkarni; Yuvaraj Govindarajulu; Harshit Shah; Manojkumar Parmar (SecDev, 2024)

MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception. - Vidit Khazanchi; Pavan Kulkarni; Yuvaraj Govindarajulu; Manojkumar Parmar (CoRR, 2024)

Enhancing TinyML Security: Study of Adversarial Attack Transferability. - Parin Shah; Yuvaraj Govindarajulu; Pavan Kulkarni; Manojkumar Parmar (CoRR, 2024)

VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional Spaces. - Somnath Sendhil Kumar; Yuvaraj Govindarajulu; Pavan Kulkarni; Manojkumar Parmar (CoRR, 2024)

Challenges in Ensuring AI Safety in DeepSeek-R1 Models: The Shortcomings of Reinforcement Learning Strategies. - Manojkumar Parmar; Yuvaraj Govindarajulu (CoRR, 2025)