Kartik Sharma

☍ 🤖 🔎 🦺 🎛️

I am a third-year Ph.D. student at Georgia Institute of Technology, being advised by Prof. Srijan Kumar. I have had the pleasure of spending the summer of 2023 at Visa Research. Before this, I graduated from IIT Delhi in 2021, where I was fortunate to be advised by Prof. Sayan Ranu.

Through my research, my goal is to study and build machine learning (ML 🤖) models for structured data (specifically, graphs ☍), which are reliable and can be easily controlled by the users. To this end, I am focused at measuring the reliability and alignment of existing models (🔎), designing structure-inspired robust (🦺) and user-controllable models (🎛️). During my Ph.D. journey so far, I have explored specific research questions within these areas and am excited to continue my exploration in the future.

news

Mar 07, 2023	Website updated.

selected publications

Measuring ML reliability and alignment for structured data.

Task and model agnostic adversarial attack on graph neural networks

Kartik Sharma, Samidha Verma , Sourav Medya , and 2 more authors

In Proceedings of the AAAI Conference on Artificial Intelligence , 2023
Temporal dynamics-aware adversarial attacks on discrete-time dynamic graph models

Kartik Sharma, Rakshit Trivedi , Rohit Sridhar , and 1 more author

In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , 2023

Designing reliable and interpretable predictive models.

Representation learning in continuous-time dynamic signed networks

Kartik Sharma, Mohit Raghavendra , Yeon-Chang Lee , and 1 more author

In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management , 2023

Enabling user-controllable generation.

Plug-and-Play Controllable Graph Generation with Diffusion Models

Kartik Sharma, Srijan Kumar , and Rakshit Trivedi

In ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling , 2023