Vethavikashini C R

I am a Master's student at Columbia University, where I am fortunate to be advised by Prof. Micah Goldblum, Prof. Zhou Yu, and Prof. Siddhartha Dalal. During my academic journey, I have also had the privilege of being mentored by Prof. Zhijing Jin, Prof. Erik Cambria, and Prof. Ashish Anand.

I previously graduated from IIT Guwahati in 2023 with a Bachelor's in Engineering Physics.

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Research

My primary research interests lie in three key areas:

• AI Safety and Privacy: I am passionate about developing robust systems to ensure the safe deployment of AI technologies. My work focuses on building privacy-preserving frameworks, designing secure agentic systems, and addressing vulnerabilities like adversarial and backdoor attacks.
• Causal NLP: I aim to enhance the interpretability and fairness of language models by leveraging causal inference techniques. My research includes uncovering and mitigating biases in generative models and exploring causality-driven methods to improve decision-making and predictions in NLP.
• NLP for Social Good: I am dedicated to using NLP to address real-world challenges, including creating inclusive AI tools for low-resource languages, designing personalized engagement systems, and tackling issues related to climate change and education.

News and Highlights

• [December 2024] Awarded Best Paper for Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias at Causality and Large Models - NeurIPS 2024

Publications

* denotes equal contribution.