I’m currently a Machine Learning Engineer at Adobe working in Adobe Search. My area of interests are Large Language Models, Small Language Models, AI Agents, Generative AI and Adversarial Machine Learning.

Selected Publications

• Domain-specific Question Answering with Hybrid Search
  Dewang Sultania, Zhaoyu Lu, Twisha Naik, Franck Dernoncourt, David Seunghyun Yoon, Sanat Sharma, Trung Bui, Ashok Gupta, Tushar Vatsa, Suhas Suresha, Ishita Verma, Vibha Belavadi, Cheng Chen, Michael Friedrich, 2025 AAAI Workshop on Document Understanding and Intelligence, pdf
• Attack Some while Protecting Others: Selective Attack Strategies for Attacking and Protecting Multiple Concepts
  Vibha Belavadi, Yan Zhou, Murat Kantarcioglu, Bhavani Thuraisingham, 2023 ACM SIGSAC Conference on Computer and Communications Security, pdf
• MultiModal Deception Detection: Accuracy, Applicability and Generalizability
  Vibha Belavadi, Yan Zhou, Jonathan Z Bakdash, Murat Kantarcioglu, Daniel C Krawczyk, Linda Nguyen, Jelena Rakic, Bhavani M. Thuraisingham, 2020 IEEE International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications, pdf
• Attacking Machine Learning Models for Social Good
  Vibha Belavadi, Yan Zhou, Murat Kantarcioglu, Bhavani M. Thuraisingham, 2020 GameSec International Conference on Decision and Game Theory for Security, pdf