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
-
G Sriramanan, S Bharti, VS Sadasivan, S Saha, P Kattakinda, S Feizi
Neural Information Processing Systems (NeurIPS), 2024
-
VS Sadasivan, S Saha*, G Sriramanan*, P Kattakinda, A Chegini, S Feizi
International Conference on Machine Learning (ICML), 2024
-
S Balasubramanian*, G Sriramanan*, VS Sadasivan, S Feizi
Neural Information Processing Systems (NeurIPS), 2023
Spotlight Paper
-
G Sriramanan, M Gor, S Feizi
Neural Information Processing Systems (NeurIPS), 2022
Oral Paper
at AdvML Frontiers Workshop @ ICML 2022
-
S Addepalli*, S Jain*, G Sriramanan, RV Babu
European Conference on Computer Vision (ECCV), 2022
-
G Sriramanan*, S Addepalli*, A Baburaj, RV Babu
Neural Information Processing Systems (NeurIPS), 2021
-
S Addepalli*, S Jain*, G Sriramanan, S Khare, RV Babu
Adversarial Machine Learning (AML) Workshop @ ICML 2021
-
S Addepalli*, D Behl*, G Sriramanan, RV Babu
Adversarial Robustness in the Real World (AROW) Workshop @ ECCV 2021
-
S Addepalli*, S Jain*, G Sriramanan*, S Khare, RV Babu
Safe Artificial Intelligence for Automated Driving (SAIAD) Workshop @ CVPR 2021
-
G Sriramanan*, S Addepalli*, A Baburaj, RV Babu
Neural Information Processing Systems (NeurIPS), 2020
Spotlight Paper
-
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
- I’ve served as a reviewer for ICCV 2021, CVPR 2022, ECCV 2022, ACML 2022, NeurIPS 2022/23, ICLR 2023, JMLR 2022/23 over the past few years.
- I received the Outstanding Reviewer Award at CVPR 2022, ECCV 2022 and ICLR 2023.
Workshop Program Committees
- I’ve served on the Program Committee of various Deep Learning workshops on Adversarial Robustness, Security and Socially Responsible ML over the past few years: ECCV 2020 2022, ICLR 2021 2022, CVPR 2021 2022, ICML 2021 2022, ICCV 2021, 2023.
Powered by Jekyll and Minimal Light theme.