Karthik Garimella

I'm an ECE PhD student at New York University advised by Brandon Reagen. My research focuses on machine learning & optimization for hardware, security, and robotics.

Before NYU, I received an MS in Computer Engineering from Washington University in St. Louis where I was advised by Xuan Zhang. Here, I worked on adversarial machine learning in self-driving cars and reinforcement learning for energy-efficient computing in multi-core systems.

I play tennis and enjoy biking, skiing, and hiking.

Google Scholar  /  Github  /  Twitter  /  kvgarimella AT nyu.edu

profile photo
Research
clean-usnob Attacking Vision-based Perception in End-to-End Autonomous Driving Models
Adith Boloor, Karthik Garimella , Xin He, Christopher Gill, Yevgeniy Vorobeychik, Xuan Zhang.
Journal of Systems Architecture, 2020

We employ Bayesian Optimization to efficiently traverse the search space of simple physically realizable attacks on deep neural network models for end-to-end autonomous driving control within the CARLA simulator.

[code]
clean-usnob CARLA Autonomous Driving Challenge 2019
Adith Boloor, Karthik Garimella , Jinghan Yang, Christopher Gill, Yevgeniy Vorobeychik, Ayan Chakrabarti, Xuan Zhang.
Invited talk at CVPR, 2019

We train an end-to-end CNN model to predict vehicle controls and make use of a hazard model to obey traffic rules and yield for pedestrians.

[CVPR 2019 workshop]
Source stolen from here