illustration of lock, four asterisks and a shield with a fingerprint on it on a green gradient background

Security, privacy, and cryptography

Leveraging Large Language Models for Automated Proof Synthesis in Rust

photos of PhD students Anunay Kulshrestha and Karan Newatia with a photo of Senior Cryptographer Josh Benaloh in the middle with a microphone icon on a blue and purple gradient background

Intern Insights: Dr. Josh Benaloh with Anunay Kulshrestha and Karan Newatia

Bayes Security (β*, higher better) of DP-SGD against membership and attribute inference on the Adult and Purchase datasets as a function of the number of training steps. The green dashed line shows the corresponding DP budget (ε). Membership and attribute inference curves decrease monotonically as the model is trained for longer and the accuracy and DP budget grow.

Closed-Form Bounds for DP-SGD against Record-level Inference

ProvCam: A Camera Module with Self-Contained TCB for Producing Verifiable Videos

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Published Date

Publication

Vale: Verifying High-Performance Cryptographic Assembly Code

Barry Bond, Chris Hawblitzel, Manos Kapritsos, Rustan Leino, Jay Lorch, Bryan Parno, Ashay Rane, Srinath Setty, Laure Thompson

Proceedings of the USENIX Security Symposium | August 2017

Distinguished Paper Award

Access Github Project

Publication

Strong and Efficient Cache Side-Channel Protection using Hardware Transactional Memory

Daniel Gruss, Julian Lettner, Felix Schuster, Olya Ohrimenko, Istvan Haller, Manuel Costa

USENIX Security Symposium 2017 | August 2017

Publication

Inferring Fine-grained Control Flow Inside SGX Enclaves with Branch Shadowing

Sangho Lee, Ming-Wei Shih, Prasun Gera, Taesoo Kim, Hyesoon Kim, Marcus Peinado

26th USENIX Security Symposium (USENIX Security 17) | August 2017

Publication

Enabling secure and resource-efficient blockchain networks with VOLT

Srinath Setty, Soumya Basu, Lidong Zhou, Justine Stephenson, Ramarathnam Venkatesan

MSR-TR-2017-38 | August 2017

Published by Microsoft

Project

Always Encrypted

Always Encrypted is a feature designed to protect sensitive data, such as credit card numbers or national identification numbers (e.g. U.S. social security numbers), stored in Azure SQL Database or SQL Server databases. Always Encrypted…

Publication

Efficient, Constant-Round and Actively Secure MPC: Beyond the Three-Party Case

Nishanth Chandran, Juan Garay, Payman Mohassel, Satyanarayana Vusirikala

ACM Conference on Computer and Communications Security 2017 | August 2017

Publication

Inferring Fine-grained Control Flow Inside SGX Enclaves with Branch Shadowing

Sangho Lee, Ming-Wei Shih, Prasun Gera, Taesoo Kim, Hyesoon Kim, Marcus Peinado

26th USENIX Security Symposium (Security 2017) | August 2017

Publication

Loophole: Timing Attacks on Shared Event Loops in Chrome

Pepe Vila, Boris Köpf

USENIX Security Symposium | August 2017

Distinguished paper award

Project

Publication

Breaking the FF3 Format-Preserving Encryption Standard over Small Domains

Betül Durak, Serge Vaudenay

CRYPTO | July 2017

Publication

Private queries on encrypted genomic data

Kim Laine, Kristin Lauter, Hao Chen, Peter Rindal, Gizem S. Çetin, Yuhou Xia

iDASH Privacy and Security Workshop 2016 | July 2017

Project

Security, privacy, and cryptography

Highlights