Key transparency has been presented as an efficient solution for detecting a server that attempts to dishonestly serve keys. We design and implement a memory-optimized and privacy-preserving verifiable data structure for committing to the username to public key store.

Joint work with Harjasleen Malvai, Lefteris Kokoris-Kogias, Alberto Sonnino, Esha Ghosh, Ercan Ozturk, and Sean Lawlor.

We present a new primitive, called the Oblivious Revocable Function (ORF), which allows identifiers to be obliviously mapped to a consistent value across multiple devices, while enabling the server to permanently remove an individual device’s ability to map values.

Joint work with Jon Millican, Ananth Raghunathan, and Arnab Roy.

This work presents an approach for compressing hash-based signatures using STARKs. We focus on constructing a hash-based t-of-n threshold signature scheme, as well as an aggregate signature scheme.

Joint work with Irakliy Khaburzaniya, Kostas Chalkias, and Harjasleen Malvai.

This paper presents HashWires, a hash-based range proof protocol that is applicable in settings for which there is a trusted third party (typically a credential issuer) that can generate commitments.

Joint work with Kostas Chalkias, Shir Cohen, Fredric Moezinia, and Yolan Romailler.

We introduce the notion of credential-hiding login, which enables a client to authenticate itself by sending a single message to the server, while ensuring the correct verification of credentials and maintaining credential privacy in the same strong sense as guaranteed by asymmetric PAKEs.

Joint work with Payman Mohassel and Arnab Roy.

We describe how Facebook handles the large-scale propagation of updates securely, using a lattice-based homomorphic hash function to help provide integrity without sacrificing efficiency.

Joint work with Wonho Kim, Ilya Maykov, and Stephen Weis.

We describe two token-based methods for authentication within Facebook to provide secure authorization within Facebook's infrastructure.

Joint work with Callen Rain, Stephen Weis, Yueting Lee, Haozhi Xiong, and Benjamin Yang.

We initiate a systematic study of mmap-based constructions, building a general framework, called 5Gen, to experiment with program obfuscation and multi-input functional encryption.

Joint work with Alex Malozemoff, Daniel Apon, Brent Carmer, Adam Foltzer, Daniel Wagner, David Archer, Dan Boneh, Jonathan Katz, and Mariana Raykova.

We give new constructions of order-revealing encryption with improved security guarantees and also show how to perform range queries efficiently in a manner that is robust against inference attacks.

Joint work with David J. Wu.

We construct inner product encryption with the function-hiding property, and we validate the practicality of our encryption scheme through implementation.

Joint work with Sam Kim, Avradip Mandal, Hart Montgomery, Arnab Roy, and David J. Wu.

We show how to construct an order-revealing encryption scheme which is not only more secure than all other existing order-preserving encryption schemes, but is also practical.

Joint work with Nathan Chenette, Stephen Weis, and David J. Wu.

We introduce the notion of key privacy for a constrained PRF, which captures the intuition that an adversary, given two constrained keys, cannot distinguish their constraints.

Joint work with Dan Boneh and David J. Wu.

We show how to construct the first implementable functional encryption scheme on multiple inputs using multilinear maps.

Joint work with Dan Boneh, Mariana Raykova, Amit Sahai, Mark Zhandry, and Joe Zimmerman.

We present a new way to encode weighted sums into unweighted pairwise constraints, with implications to the k-SUM problem, and also with finding cliques in node-weighted graphs.

Joint work with Amir Abboud and Ryan Williams.

We show how to construct pseudorandom functions that are secure against a large class of related-key attacks.

Joint work with Hart Montgomery and Ananth Raghunathan.

We construct the first provably secure key homomorphic pseudorandom functions in the standard model.

Joint work with Dan Boneh, Hart Montgomery, and Ananth Raghunathan.

We connect natural subgraph finding problems on edge-weighted graphs with the infamous k-Sum Conjecture, establishing tight reductions between graph problems and decision problems on sums.

Joint work with Amir Abboud.

We consider a model of user engagement in social networks, where each player incurs a cost to remain engaged but derives a benefit proportional to the number of engaged neighbors.

Joint work with Kshipra Bhawalkar, Jon Kleinberg, Tim Roughgarden, and Aneesh Sharma.

We analyze the online version of the min-cost metric matching problem on k servers and k requests, and show how a simple randomized algorithm obtains an O(log k)-competitive solution on the line metric.

Joint work with Anupam Gupta.

We study iterated transductions defined by a class of invertible transducers over the binary alphabet.

Joint work with Klaus Sutner.