Nirav Diwan

PhD @ UIUC

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I am a first-year Ph.D. student at the University of Illinois Urbana-Champaign in the Siebel School of Computing and Data Science. I am working with Prof. Gang Wang at the intersection of Security and Machine Learning. I am particularly interested in practical adversarial attacks on large language models (LLMs). My work has been published at ACL, USENIX Security Symposium, ICWSM, and the ICDE Workshop.

I recently completed my research-track M.S. at the University of Illinois Urbana-Champaign with Prof. Gang Wang in the area of Adversarial Machine Learning with a focus on Foundation Models. Previously, I worked on watermarking fine-tuned LLM-generated text (ACL Findings ‘21) with Prof. Zubair Shafiq (UC Davis) and Prof. Tanmoy Chakraborty (IIT Delhi).

Before my MS, I did my B.Tech. degree in Computer Science from IIIT Delhi in June 2021, where I worked in Natural Language Processing (NLP), Graphs, and Security & Privacy (S&P). I was a member of LCS2 and the Complex Systems Lab. I worked on identifying anomalies in the YouTube Blackmarket Network using graphs (ICWSM ‘22). I also led the information retrieval team for RecipeDB - a worldwide repository of recipes (ICDE Workshop, Oxford University Press).

I interned at LG AI Research in summer 2024 with the Bi-lingual LLM team. I worked on alignment algorithms for LLMs with Tolga Ergen and Honglak Lee. Prior to this, I was an Applied Science intern at Ema Unlimited last summer (2023). I worked with the Generative AI Team on converting natural language to SQL Commands. I have also worked as a Natural Language Processing (NLP) Engineer at Prodigal Technologies for a year, where I focused on problems of Dialogue State Tracking (DST), Information Retrieval (IR), and optimizing search queries with a specific focus on finance-related conversations. Additionally, I interned at TCS Research and Centre de Sciences Humaines (CSH Delhi).

Affiliations & Internships
                   
IIIT Delhi
2017-2021
B. Tech Computer Science
TCS Research
Summer 2020
Research Intern
Network Sciences
UIUC
2024-Present
PhD Computer Science
MS CS (2022-2024)
Ema Inc.
Summer 2023
Applied Science Intern
Generative AI Team
LG AI Research
Summer 2024
Research Intern
Bi-lingual LLM Team

News

Aug 23, 2024 Officially started my PhD at UIUC!
May 29, 2024 Joined LG AI Research as a research intern in the Bi-lingual LLM Team!
May 11, 2024 Graduated with my MS CS at UIUC!
Mar 10, 2024 Selected to represent UIUC at the Catalyzing Advocacy in Science and Engineering Workshop in Washington!
Feb 6, 2024 I will be at USENIX 2024 at Philadelphia USENIX Security Symposium!
Feb 6, 2024 Our work highlighting the risk of Diffusion Models for evading online phishing detectors has been accepted at USENIX Security Symposium!
Oct 17, 2023 Submitted our work at USENIX Security Symposium!
Jun 5, 2023 Joined the Generative AI Team at Ema team as an Applied Science Intern!
Aug 22, 2022 Started working as a Teaching Assistant for CS124 Introduction to Computer Science (Fall 2022, Spring 2023, Fall 2023).
Aug 15, 2022 Joined the research-track MS CS program at University of Illinois, Urbana-Champaign!
Jun 1, 2022 Our work on Identifying Anomalous Users in the YouTube BlackMarket has been accepted at AAAI - ICWSM.
Sep 1, 2021 Joined the ProVoice team at Prodigal Technologies as a Natural Language Processing (NLP) Engineer.
Jun 21, 2021 Honoured to recieve the Dean’s Thesis Appreciation Award at IIIT Delhi!
Jun 21, 2021 Graduated with B. Tech degree in Computer Science from IIIT Delhi.
Jun 1, 2021 Our work on Watermarking Fine-tuned Language Model Generated text has been accepted at ACL (Findings).
Nov 1, 2020 RecipeDB designed has been accepted at Database: The Journal of Biological Databases and Curation (Oxford university Press) (Impact Factor = 5.8).
Aug 1, 2020 Started working as a Teaching Assistant for CS563 Machine Learning (Graduate) Course at IIITD (Fall 2020).
Mar 1, 2020 The Information Retrieval model designed for RecipeDB has been accepted at DECOR Workshop at ICDE.