Vinod Vaikuntanathan

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.

Publications

• 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.

Media

• 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.