Associate Professor, Electrical Engineering and Computer Science
Vinod Vaikuntanathan is an associate professor in MIT’s Department of Electrical Engineering and Computer Science and chief cryptographer at Duality Technologies. He is the co-inventor of most modern fully homomorphic encryption systems and many other lattice-based (post-quantum secure) cryptographic primitives. He has received an IBM Josef Raviv Fellowship, an NSF Career Award, a Sloan Faculty Fellowship, a Microsoft Faculty Fellowship, a DARPA Young Faculty Award, and a Harold E. Edgerton Faculty Award. He earned a BTech from the Indian Institute of Technology, Madras, and an MS and PhD from MIT.
- Lombardi, A., Vaikuntanathan, V., Wichs, D. (2020). Statistical ZAPR Arguments from Bilinear Maps. EUROCRYPT 39th Annual International Conference on the Theory and Applications of Cryptographic Techniques.
- Boyle, E., Lavigne, R., Vaikuntanathan, V. (2019). Adversarially Robust Property-Preserving Hash Functions. Innovations in Theoretical Computer Science (ITCS), 1-20.
- Juvekar, C., Vaikuntanathan, V., Chandrakasan, A. (2018). GAZELLE: A Low Latency Framework for Secure Neural Network Inference. Usenix Security Symposium, 1651-1669.
- Degwekar, A., Nakkiran, P., Vaikuntanathan, V. (2019). Computational Limitations in Robust Classification and Win-win Results. Conference on Learning Theory (COLT), 994-1028.
- Stephens-Davidowitz, N., Vaikuntanathan, V. (2019). SETH-hardness of coding problems. IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS), 287-301.
- January 16, 2019: MIT News, Fortifying the future of cryptography.
- August 17, 2018: MIT News, More efficient security for cloud-based machine learning.
- April 23, 2018: MIT News, Vinod Vaikuntanathan wins Edgerton Faculty Award.
- March 23, 2017: MIT News, Protecting web users’ privacy.