About

I am the Technical Lead at RELAI, where I lead the development and deployment of our AI solutions.

In 2024, I completed my PhD in the Department of Electrical and Computer Engineering at the University of Maryland, College Park, where I worked with Soheil Feizi.

My research interests are in reliability of AI models and systems (including LLMs, AI agents). I love working on generalized algorithms that can solve a wide variety of problems.

Here's my Google Scholar profile.

Timeline

  1. 2024 - Present

    Technical Lead at RELAI

  2. 2020 - 2024

    PhD in Electrical and Computer Engineering, University of Maryland, College Park

  3. 2018 - 2020

    M.Tech in Electrical Engineering, IIT Madras

    For my Master's thesis, I worked on image denoising with A. N. Rajagopalan. In the summer of 2019, I did an internship with KLA where I worked on super-resolution of SEM images.

  4. 2016 - 2018

    Co-Founder, Tessact

    At Tessact, our mission was to bring the latest advancements in Deep Learning to the media industry. Specifically, we developed software for scalable and accurate frame-by-frame video annotation. This is the first and, arguably, the hardest step in automating the process of serving contextual advertisements and meeting compliance standards.

  5. 2012 - 2016

    B.Tech in Electrical Engineering, IIT Bombay

    Here, I had my first exposure to the wonderful world of Computer Vision, in the courses taught by Ajit Rajwade.

Publications

Rethinking Artistic Copyright Infringements in the Era of Text-to-Image Generative Models

Mazda Moayeri, Samyadeep Basu, Sriram Balasubramanian, Priyatham Kattakinda, Atoosa Chegini, Soheil Feizi

International Conference on Learning Representations (ICLR), 2025

On mechanistic knowledge localization in text-to-image generative models

Samyadeep Basu, Keivan Rezaei, Priyatham Kattakinda, Vlad I. Morariu, Niranjan Zhao, Ryan A. Rossi, Soheil Feizi

Forty-first International Conference on Machine Learning (ICML), 2024

Fast Adversarial Attacks on Language Models In One GPU Minute

Vinu Sankar Sadasivan, Shoumik Saha, Gaurang Sriramanan, Priyatham Kattakinda, Atoosa Chegini, Soheil Feizi

International Conference on Learning Representations (ICLR), 2024

LLM-Check: Investigating Detection of Hallucinations in Large Language Models

Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan, Shoumik Saha, Priyatham Kattakinda, Soheil Feizi

Advances in Neural Information Processing Systems (NeurIPS), 2024

FOCUS: Familiar Objects in Common and Uncommon Settings

Priyatham Kattakinda, Soheil Feizi

Proceedings of the 39th International Conference on Machine Learning, 2022

Unpaired Image Denoising

Priyatham Kattakinda, A. N. Rajagopalan

IEEE International Conference on Image Processing (ICIP), UAE (Virtual), October 2020

Preprints

Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models

Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Soheil Feizi

Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning

Neha Kalibhat, Priyatham Kattakinda, Arman Zarei, Nikita V Seleznev, Samuel Sharpe, Sanjiv Kumar, Soheil Feizi

Invariant Learning via Diffusion Dreamed Distribution Shifts

Priyatham Kattakinda, Alexander Levine, Soheil Feizi

Accomplishments

  • Outstanding Graduate Student Award [December 2023]

    The award conveys the honor of being recognized as among the top 2% of campus Graduate Assistants at the University of Maryland in a given year.

  • Siemens Prize [September 2020]

    Awarded to the M. Tech student with the best academic record in Electrical Engineering at IIT Madras.

  • M K Achuthan Prize [April 2020]

    Awarded to the M. Tech student with the best academic record in the first year in Electrical Engineering at IIT Madras.

  • All India Rank 80 in IIT-JEE [June 2012]

    Secured 80th rank (~ 470 000 total candidates, 99.98th percentile) in the Joint Entrance Examination conducted by the IITs in 2012.