Deepika Natarajan
About Me
I am currently a Research Associate at the University of Michigan, Ann Arbor. Previously, I was a PhD student in the Computer Science and Engineering department at the University of Michigan, Ann Arbor, where I was advised by Professor Ron Dreslinki. My research interests include privacy and security, including secure and private computation and privacy-preserving machine learning. Prior to working in these areas, I completed by undergraduate and masters degrees in Computer Engineering at the University of Michigan.
My current research seeks to enable practical deployments of privacy-preserving technologies. By improving the performance of privacy-preserving techniques, I hope to make secure and private computation possible for more devices and scenarios. My work on SEAL-Embedded, for example, enables developers to utilize homomorphic encryption on constrained embedded devices in an efficient manner.
I am currently looking for a full-time position in industry. If you know of a position for which I may be a good fit, please contact me at dnataraj@umich.edu.

News
- December 2022 — Successfully defended my thesis
- August 2022 — Attended USENIX Security 2022 in Boston, MA
- April 2021 — Started internship with MSR in the Cryptography and Privacy Research group. Excited to be continuing this collaboration from last summer.
Industry Experience
- Research Intern – Microsoft Research, Cryptography and Privacy Research Group (Redmond, WA)
Summer 2021
Topic: Re-evaluating multi-party computation techniques with modern network assumptions
- Research Intern – Microsoft Research, Cryptography and Privacy Research Group (Redmond, WA)
Summer 2020
Topic: Design of a homomorphic encryption library for constrained embedded devices
- Invited Participant, Private AI Bootcamp – Microsoft Research, Cryptography and Privacy Research Group (Redmond, WA)
December 2019
- Research Intern – Intel Labs, Security and Privacy Research (SPR) (Hillsboro, OR)
Summer 2019
Topic: Security analysis of machine learning computation offload from TEEs to GPUs
Publications
- SEAL-Embedded: A Homomorphic Encryption Library for the Internet of Things
Deepika Natarajan, Wei Dai
IACR Transactions on Cryptographic Hardware and Embedded Systems (TCHES), 2021
- CHEX-MIX: Combining Homomorphic Encryption with Trusted Execution Environments for Two-party Oblivious Inference in the Cloud
Deepika Natarajan, Wei Dai, Ronald Dreslinski
(Preprint / Under submission)
- PRIORIS: Enabling Secure Detection of Suicidal Ideation from Speech using Homomorphic Encryption
Deepika Natarajan, Anders Dalskov, Daniel Kales, Shabnam Khanna
Chapter in “Protecting Privacy through Homomorphic Encryption” (Editors: Kristen Lauter, Wei Dai, Kim Laine), Springer, 2021
- Performance Characterization of Lattice-Based Cryptography Workloads
Deepika Natarajan, Ronald G. Dreslinski
IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), 2020