A Named Entity Based Approach to Model Recipes. - Nirav Diwan; Devansh Batra; Ganesh Bagler (ICDE Workshops, 2020)

Nutritional Profile Estimation in Cooking Recipes. - Jushaan Singh Kalra; Devansh Batra; Nirav Diwan; Ganesh Bagler (ICDE Workshops, 2020)

RecipeDB: a resource for exploring recipes. - Devansh Batra; Nirav Diwan; Utkarsh Upadhyay; Jushaan Singh Kalra; Tript Sharma; Aman Kumar Sharma; Dheeraj Khanna; Jaspreet Singh Marwah; Srilakshmi Kalathil; Navjot Singh; Rudraksh Tuwani; Ganesh Bagler (Database J. Biol. Databases Curation, 2020)

Fingerprinting Fine-tuned Language Models in the Wild. - Nirav Diwan; Tanmoy Chakraborty 002; Zubair Shafiq (ACL/IJCNLP (Findings), 2021)

Weakening the Inner Strength: Spotting Core Collusive Users in YouTube Blackmarket Network. - Hridoy Sankar Dutta; Nirav Diwan; Tanmoy Chakraborty 002 (ICWSM, 2022)

It Doesn't Look Like Anything to Me: Using Diffusion Model to Subvert Visual Phishing Detectors. - Qingying Hao; Nirav Diwan; Ying Yuan 002; Giovanni Apruzzese; Mauro Conti; Gang Wang 011 (USENIX Security Symposium, 2024)

You Can't Judge a Binary by Its Header: Data-Code Separation for Non-Standard ARM Binaries Using Pseudo Labels. - Hadjer Benkraouda; Nirav Diwan; Gang Wang 011 (SP, 2025)

Clear Preferences Leave Traces: Reference Model-Guided Sampling for Preference Learning. - Nirav Diwan; Tolga Ergen; Dongsub Shim; Honglak Lee (CoRR, 2025)

PurpCode: Reasoning for Safer Code Generation. - Jiawei Liu 004; Nirav Diwan; Zhe Wang; Haoyu Zhai; Xiaona Zhou; Kiet A. Nguyen; Tianjiao Yu; Muntasir Wahed; Yinlin Deng; Hadjer Benkraouda; Yuxiang Wei 003; Lingming Zhang 001; et al. (CoRR, 2025)

MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? - Muntasir Wahed; Xiaona Zhou; Kiet A. Nguyen; Tianjiao Yu; Nirav Diwan; Gang Wang 011; Dilek Hakkani-Tür; Ismini Lourentzou (CoRR, 2025)