On Optimizing Human-Machine Task Assignments. - Andreas Veit; Michael J. Wilber; Rajan Vaish; Serge J. Belongie; James Davis 001; Vishal Anand 002; Anshu Aviral; Prithvijit Chakrabarty; Yash Chandak; Sidharth Chaturvedi; Chinmaya Devaraj; Ankit Dhall; et al. (CoRR, 2015)

Malware Evasion Attack and Defense. - Yonghong Huang; Utkarsh Verma; Celeste Fralick; Gabriel Infante-Lopez; Brajesh Kumar; Carl Woodward (DSN Workshops, 2019)

IP solutions for international kidney exchange programmes. - Radu Stefan Mincu; Péter Biró 001; Márton Gyetvai; Alexandru Popa 001; Utkarsh Verma (Central Eur. J. Oper. Res., 2021)

Attacking Malware Detection using Adversarial Machine Learning. - Utkarsh Verma; Yonghong Huang; Carl Woodward; Craig Schmugar; Prashanth Palasamudram Ramagopal; Celeste Fralick (ICDIS, 2022)

Machine Learning-Based Academic Result Prediction System. - Megha Bhushan; Utkarsh Verma; Chetna Garg; Arun Negi (Int. J. Softw. Innov., 2024)

Spectrum Allocation in 5G and Beyond Intelligent Ubiquitous Networks. - Banoth Ravi; Utkarsh Verma (Int. J. Netw. Manag., 2025)

Early Exit and Multi Stage Knowledge Distillation in VLMs for Video Summarization. - Anas Anwarul Haq Khan; Utkarsh Verma; Prateek Chanda; Ganesh Ramakrishnan (CoRR, 2025)