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PhD in Computer Science

• Thesis - Impact of Poisoning attacks on Machine Learning Models
• Advisor - Dr. Alina Oprea
• 🏆 Graduate Research Award

Masters in Computer Science

• Thesis - Privacy Preserving Machine Learning via Multi-party Computation
• Advisor - Dr. Arpita Patra
• 🏆 Awarded MHRD Scholarship for 2.5 years

Student Researcher (includes part-time)

• Understanding Injection and Propagation of Bias in Large Language Models (LLMs)

Data Scientist

• Building user affinities for personalized recommender systems

Research Intern

• Efficient training of private Deep Learning (DL) models

Research Intern

• Data poisoning attacks against differentially private recommender systems

Research Intern

• Implementing efficient MPC primitives and protocols.

Propagation of Adversarial Bias to Distilled Language Models

• London, UK

Phantom: General Trigger Attacks on Retrieval Augmented Language Generation

• Mountain view, USA

SNAP: Efficient Extraction of Private Properties with Poisoning

• San Francisco, USA

SafeNet: Unreasonable Effectiveness of Ensembles in Collaborative Learning

• Raleigh, USA

Greenwoods - A Practical Random Forest Framework for Private Training and Prediction

FLASH - Fast and Robust Framework for Privacy-preserving Machine Learning

Privacy Preserving Machine Learning via Multi-party Computation

ASTRA - High Throughput 3PC over Rings with Application to Secure Prediction