Abhijith Sharma
Namaste` 🙏 Hello 👋
I am a Machine Learning Research Associate II at MBZUAI. I am working at the intersection of probabilistic generative modelling, specifically GFlowNets and CyberSecurity.
Previously, I was an Research Associate at University of Waterloo Research with AVL, where I developed adversarial testing framework for autonomous vehicles under Dr. Sebastian Fischmesiter and Dr. Nasser Azad.
I earned my master’s in computer science at the University of British Columbia. I researched safeguarding vision models against physical adversaries (Thesis) as a MITACS Accelerate intern with Troj AI Inc under the supervision of Dr. Apurva Narayan.
During my undergrad, I was also privileged to be part of COEP-SAT-2, a satellite initiative, where I worked on the priliminary control system design. I received my bachelor’s in Instrumentation and Control Engineering with the Gold Medal at the College of Engineering, Pune, India. I also worked shortly as a Decision Analytics Associate at ZS Associates
Outside of work, I enjoy playing squash, swimming, and delving into history to understand its impact on contemporary society.
news
| Mar 18, 2025 | My recent work on On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis got accepted at the ICLR 2025 ICBINB Workshop as a Spotlight Paper. The source code can be found on this GitHub Link. |
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| Dec 20, 2024 | I’ve moved to Abu Dhabi this winter to join MBZUAI (Mohamed bin Zayed University of Artificial Intelligence) as a Machine Learning Research Associate II. |
| Nov 05, 2024 | My recent work on Autonomous Vehicle Assessment by Testing Adversarial-patches in Real-time (AVATAR) got accepted at the IEEE Transactions on Intelligent Vehicles. The details can be found on this project page. |