Ananth Raghunathan

Senior Research Scientist
Google Brain
1600 Amphitheatre Pkwy
Mountain View, CA, 94043

email: ananthr (at) cs (dot) [PhD university] (dot) edu

Google ScholarGoogle ResearchDBLP


I am a computer scientist broadly interested in cryptography, security, and machine learning. At Google, I work in the security and privacy research team under Google Brain with Úlfar Erlingsson on differential privacy (RAPPOR), applied crypto (incl. post-quantum crypto), and topics at the intersection of security and machine learning.

I am also part of the FrodoKEM team that designed and submitted the Frodo Key Encapsulation Mechanism to the NIST post-quantum crypto candidates competition.

I received my Ph.D. from the Department of Computer Science at Stanford University advised by Prof. Dan Boneh. My thesis focused on modeling and building secure deterministic and searchable encryption schemes. I also worked on building lattice-based cryptographic primitives, among other topics in cryptography.

I spent Summer 2013 with Dirk Balfanz and the security engineering team doing research on the Security Key at Google. I spent Summer 2012 at Microsoft Research (Silicon Valley) working with Gil Segev and Ilya Mironov. Earlier, I graduated from the Computer Science and Engineering Department at IIT Madras with a Bachelors of Technology in Computer Science in 2009.


Scalable Private Learning with PATE
With Nicolas Papernot, Shuang Song, Ilya Mironov, Kunal Talwar, and Úlfar Erlingsson
ICLR 2018
Prochlo: Strong Privacy for Analytics in the Crowd
With Andrea Bittau, Úlfar Erlingsson, Petros Maniatis, Ilya Mironov, David Lie, Mitch Rudominer, Ushasree Kode,
Julien Tinnes, and Bernhard Seefeld
Frodo: Take off the ring! Practical, Quantum-Secure Key Exchange from LWE
With Joppe Bos, Craig Costello, Léo Ducas, Ilya Mironov, Michael Naehrig, Valeria Nikolaenko, and Douglas Stebila
ACM CCS 2016 
Improved Constructions of PRFs Secure Against Related-Key Attacks
With Kevin Lewi and Hart Montgomery
ACNS 2014
Function-Private Subspace-Membership Encryption and Its Applications
With Dan Boneh and Gil Segev
Function-Private Identity-Based Encryption: Hiding the Function in Functional Encryption
With Dan Boneh and Gil Segev
CRYPTO 2013 
Message-Locked Encryption for Lock-Dependent Messages
With Martín Abadi, Dan Boneh, Ilya Mironov, and Gil Segev
CRYPTO 2013 
Key-Homomorphic PRFs and Their Applications
With Dan Boneh, Kevin Lewi, and Hart Montgomery
CRYPTO 2013 
Deterministic Public-Key Encryption for Adaptively Chosen Plaintext Distributions
With Gil Segev and Salil Vadhan
Journal of Cryptology 2018
Algebraic PRFs with Improved Efficiency from the Augmented Cascade
With Dan Boneh, Hart Montgomery
ACM CCS 2010 
Obfuscating Straight Line Arithmetic Programs
With Srivatsan Narayanan, Ramarathnam Venkatesan
DRM Workshop at ACM CCS 2009 


I have served or am serving on the program committees for the following conferences: IEEE S&P (Oakland) 2019, PETS 2019, CRYPTO 2018, and PETS 2018.

In the past, I have reviewed papers for the following conferences: CRYPTO, EUROCRYPT, IEEE S&P (Oakland), Usenix Security, PKC, TCC, PODS, ICALP, Financial Crypto, and ICISC.


I helped my advisor with this excellent online course! in the Winter of 2012.
I was a Course Assistant (CA) for CS255: Introduction to Cryptography in Winter 2012 and 2011.


My sister Aditi Raghunathan.

A short write-up on the Gödel prize-winning Toda's theorem—one of my favorite results in complexity theory—as a project report for Prof. Luca Trevisan's CS254.

Website design inspired by Philipp Krähenbühl.
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