
I am an AI Security Researcher at RAND Center on AI, Security, and Technology and a Ph.D. candidate at Harvard School of Engineering and Applied Sciences, advised by Prof. Stephen Chong and Prof. Srinivas Devadas at MIT CSAIL. I am broadly interested in systems security with an emphasis on building secure, trustworthy, and scalable distributed systems. My research aims to address the fundamental problem of secure remote computation. I develop hardware-enforced isolation mechanisms and cryptographic verification techniques to scale trusted and verifiable computation in datacenters.
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Rethinking Runtime Integrity Guarantees in Distributed AI Frameworks.
Varun Gandhi, Simon Langowski, Stephen Chong, and Srinivas Devadas
Rethinking Verifiable Execution for Confidential AI Compute
Varun Gandhi, Stephen Chong, and Srinivas Devadas
Rethinking System Audit Architectures for High Event Coverage and Synchronous Log Availability
V. Gandhi, S. Banerjee, A. Agarwal, A. Ahmad, S. Lee, and M. Peinado
32nd USENIX Security Symposium, 2023
[Paper]
[Slides]
[Code]
[Talk]
Automated recovery of far edge computing infrastructure in a 5g network
S. Sariou, V. Gandhi, A. Wolman, and L.P. Cox
U.S. Patent 11,900,127
[Paper]
Liveness guarantees in secure enclaves using health tickets
S. Sariou, V. Gandhi, A. Wolman, and L.P. Cox
U.S. Patent 12,067,111
[Paper]
Rethinking Isolation Mechanisms for Datacenter Multitenancy
V. Gandhi, and J. Mickens
12th USENIX Workshop on Hot Topics in Cloud Computing, 2020
[Paper]
[Slides]
[Talk]
Shadow PC, IEEE Security and Privacy, 2021
Teaching Fellow, CS 153 Compilers, Fall 2023
Teaching Fellow, CS 262 Introduction to Distributed Computing, Spring 2023
Teaching Fellow, APCOMP 221, Critical Thinking in Data Science, Spring 2020