@article{bhardwaj2026beyond,
 title={Beyond BeautifulSoup: Benchmarking LLM-Powered Web Scraping for Everyday Users},
 author={Bhardwaj, Arth and Diwan, Nirav and Wang, Gang},
 journal={arXiv preprint arXiv:2601.06301},
 year={2026}
}

@article{purpcode,
  title = {PurpCode: Reasoning for Safer Code Generation},
  author = {Liu, Jiawei and Diwan, Nirav and Wang, Zhe and Zhai, Haoyu and Zhou, Xiaona and Nguyen, Kiet A. and Yu, Tianjiao and Wahed, Muntasir and Deng, Yinlin and Benkraouda, Hadjer and Wei, Yuxiang and Zhang, Lingming and Lourentzou, Ismini and Wang, Gang},
  journal = {arXiv preprint arXiv:2507.19060},
  year = {2025},
}

@article{mocha,
  title={MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?},
  author={Wahed, Muntasir and Zhou, Xiaona and Nguyen, Kiet A and Yu, Tianjiao and Diwan, Nirav and Wang, Gang and Hakkani-T{\"u}r, Dilek and Lourentzou, Ismini},
  journal={arXiv preprint arXiv:2507.19598},
  year={2025}
}

@inproceedings{loadstar,
 author = {Benkraouda, Hadjer and Diwan, Nirav and Wang, Gang},
 booktitle = {2025 IEEE Symposium on Security and Privacy (SP)},
 title = {{You Can't Judge a Binary by Its Header: Data-Code Separation for Non-Standard ARM Binaries Using Pseudo Labels}},
 year = {2025},
 pages = {3727-3745},
 doi = {10.1109/SP61157.2025.00036},
 url = {https://doi.ieeecomputersociety.org/10.1109/SP61157.2025.00036},
 publisher = {IEEE Computer Society},
 address = {Los Alamitos, CA, USA},
 month =May
}

@article{ndiwan2025clear,
 title={Clear Preferences Leave Traces: Reference Model-Guided Sampling for Preference Learning},
 author={Diwan, Nirav and Ergen, Tolga and Shim, Dongsub and Lee, Honglak},
 journal={arXiv preprint arXiv:2501.15109},
 year={2025}
}

@inproceedings {diffusion-phishing,
 author = {Qingying Hao and Nirav Diwan and Ying Yuan and Giovanni Apruzzese and Mauro Conti and Gang Wang},
 title = {It Doesn{\textquoteright}t Look Like Anything to Me: Using Diffusion Model to Subvert Visual Phishing Detectors},
 booktitle = {33rd USENIX Security Symposium (USENIX Security 24)},
 year = {2024},
 isbn = {978-1-939133-44-1},
 address = {Philadelphia, PA},
 pages = {3027--3044},
 url = {https://www.usenix.org/conference/usenixsecurity24/presentation/hao-qingying},
 publisher = {USENIX Association},
 month = aug
}

@inproceedings{dutta2022weakening,
 title={Weakening the inner strength: Spotting core collusive users in youtube blackmarket network},
 author={Dutta, Hridoy Sankar and Diwan, Nirav and Chakraborty, Tanmoy},
 booktitle={Proceedings of the International AAAI Conference on Web and Social Media},
 volume={16},
 pages={147--158},
 year={2022}
}

@inproceedings{ndiwanFingerprinting2021,
 title = "Fingerprinting Fine-tuned Language Models in the Wild",
 author = "Diwan, Nirav  and
 Chakraborty, Tanmoy  and
 Shafiq, Zubair",
 editor = "Zong, Chengqing and Xia, Fei  and Li, Wenjie  andNavigli, Roberto",
 booktitle = "Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021",
 month = aug,
 year = "2021",
 address = "Online",
 publisher = "Association for Computational Linguistics",
 url = "https://aclanthology.org/2021.findings-acl.409/",
 doi = "10.18653/v1/2021.findings-acl.409",
 pages = "4652--4664"
}

@article{recipedb,
 title={RecipeDB: a resource for exploring recipes},
 author={Batra, Devansh and Diwan, Nirav and Upadhyay, Utkarsh and Kalra, Jushaan Singh and Sharma, Tript and Sharma, Aman Kumar and Khanna, Dheeraj and Marwah, Jaspreet Singh and Kalathil, Srilakshmi and Singh, Navjot and others},
 journal={Database},
 volume={2020},
 pages={baaa077},
 year={2020},
 publisher={Oxford University Press UK}
}

@inproceedings{ndiwanIR2020,
 author={Diwan, Nirav and Batra, Devansh and Bagler, Ganesh},
 booktitle={2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW)}, 
 title={A Named Entity Based Approach to Model Recipes}, 
 year={2020},
 pages={88-93},
 doi={10.1109/ICDEW49219.2020.000-2}
}

@inproceedings{kalraNutri2020,
 author={Kalra, Jushaan and Batra, Devansh and Diwan, Nirav and Bagler, Ganesh},
 booktitle={2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW)}, 
 title={Nutritional Profile Estimation in Cooking Recipes}, 
 year={2020},
 pages={82-87},
 doi={10.1109/ICDEW49219.2020.000-3}
}