activity
20152020
most citedPrio: Private, Robust, and Scalable Computation of Aggregate Statistics

146 citations · 152 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CR2020

SafetyPin: Encrypted Backups with Human-Memorable Secrets

Emma Dauterman, Henry Corrigan-Gibbs, David Mazières

We present the design and implementation of SafetyPin, a system for encrypted mobile-device backups. Like existing cloud-based mobile-backup systems, including those of Apple and G…

cs.CR2019

Express: Lowering the Cost of Metadata-hiding Communication with Cryptographic Privacy

Saba Eskandarian, Henry Corrigan-Gibbs, Matei Zaharia +1

Existing systems for metadata-hiding messaging that provide cryptographic privacy properties have either high communication costs, high computation costs, or both. In this paper, w…

cs.CR2018

True2F: Backdoor-resistant authentication tokens

Emma Dauterman, Henry Corrigan-Gibbs, David Mazières +2

We present True2F, a system for second-factor authentication that provides the benefits of conventional authentication tokens in the face of phishing and software compromise, while…

cs.CR2017146 cited

Prio: Private, Robust, and Scalable Computation of Aggregate Statistics

Henry Corrigan-Gibbs, Dan Boneh

This paper presents Prio, a privacy-preserving system for the collection of aggregate statistics. Each Prio client holds a private data value (e.g., its current location), and a sm…

cs.CR20156 cited

Stickler: Defending Against Malicious CDNs in an Unmodified Browser

Amit Levy, Henry Corrigan-Gibbs, Dan Boneh

Website publishers can derive enormous performance benefits and cost savings by directing traffic to their sites through content distribution networks (CDNs). However, publishers w…