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Gaurang Sriramanan

CS PhD Student
University of Maryland, College Park
gaurangs [at] cs.umd.edu

About Me

Hello! I’m a fourth-year Computer Science PhD student at The University of Maryland (UMD), College Park. I’m very fortunate to be advised by Prof. Soheil Feizi, at the Center for Machine Learning.

My research focuses on improving the reliability, security, and robustness of Deep Neural Networks by exploring and characterizing their vulnerabilities and failure modes. I’m enthusiastic to improve our understanding of the over-sensitivity of modern Vision models and Large Language models to adversarial or jailbreaking inputs, as well as their apparent under-sensitivity to blind spots. Towards this, I have also worked on developing efficient attacks and robust training techniques that minimize computational overhead. More recently, I’ve been excited to investigate the phenomenon of hallucinations in Large Language Models and identify strategies for detecting them in real-world production settings.

Before joining UMD as a PhD student, I earned both my Bachelor’s and Master’s degrees in Mathematics at The Indian Institute of Science (IISc), Bangalore. I was fortunate to be advised by Prof. Venkatesh Babu at the Computational and Data Sciences Department, and by Prof. Kaushal Verma at the Mathematics Department during my studies at IISc.


Preprints & Publications

  1. G Sriramanan, S Bharti, VS Sadasivan, S Saha, P Kattakinda, S Feizi
    Neural Information Processing Systems (NeurIPS), 2024

  2. VS Sadasivan, S Saha*, G Sriramanan*, P Kattakinda, A Chegini, S Feizi
    International Conference on Machine Learning (ICML), 2024

  3. S Balasubramanian*, G Sriramanan*, VS Sadasivan, S Feizi
    Neural Information Processing Systems (NeurIPS), 2023

  4. G Sriramanan, M Gor, S Feizi
    Neural Information Processing Systems (NeurIPS), 2022

  5. S Addepalli*, S Jain*, G Sriramanan, RV Babu
    European Conference on Computer Vision (ECCV), 2022

  6. G Sriramanan*, S Addepalli*, A Baburaj, RV Babu
    Neural Information Processing Systems (NeurIPS), 2021

  7. S Addepalli*, S Jain*, G Sriramanan, S Khare, RV Babu
    Adversarial Machine Learning (AML) Workshop @ ICML 2021

  8. S Addepalli*, D Behl*, G Sriramanan, RV Babu
    Adversarial Robustness in the Real World (AROW) Workshop @ ECCV 2021

  9. S Addepalli*, S Jain*, G Sriramanan*, S Khare, RV Babu
    Safe Artificial Intelligence for Automated Driving (SAIAD) Workshop @ CVPR 2021

  10. G Sriramanan*, S Addepalli*, A Baburaj, RV Babu
    Neural Information Processing Systems (NeurIPS), 2020

  11. S Addepalli*, BS Vivek*, A Baburaj, G Sriramanan, RV Babu
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

Activities

Conference and Journal Reviews

Workshop Program Committees


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