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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Microsoft Research Blog

Confidential Containers: Verifiably secure computation in the cloud

July 18, 2022 | Sean T. Allen

For many organizations, trusting their data to the cloud requires having a complete understanding of and control over the environment in which that data resides and how it’s being processed. Microsoft understands this, and we…

Publication

Active Data Pattern Extraction Attacks on Generative Language Models

Esha Ghosh, Bargav Jayaraman, Sambuddha Roy, Wei Dai, Huseyin Inan, Melissa Chase

MSR-TR-2022-23 | July 2022

Published by Microsoft

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Pridwen: Universally Hardening SGX Programs via Load-Time Synthesis

Fan Sang, Ming-Wei Shih, Sangho Lee, Xiaokuan Zhang, Michael Steiner, Mona Vij, Taesoo Kim

2022 USENIX Annual Technical Conference (ATC 2022) | July 2022

Publication

Private Convex Optimization in General Norms

Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Rouqi Shen, Kevin Tian

SODA 2023 | July 2022

Project

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Telechain: Bridging Telecom Policy and Blockchain Practice

Sudheesh Singanamalla, Apurv Mehra, Nishanth Chandran, Himanchi Lohchab, Seshanuradha Chava, Asit Kadayan, Sunil Bajpai, Kurtis Heimerl, Satya Lokam, Richard Anderson

ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS) | June 2022

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Long-Term Study of Honeypots in a Public Cloud

Rakshit Agrawal, Jack W. Stokes, Lukas Rist, Ryan Littlefield, Xun Fan, Ken Hollis, Zane Coppedge, Noah Chesterman, Christian Seifert

2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks | June 2022

Project

Publication

Differential Perspectives: Epistemic Disconnects Surrounding the US Census Bureau’s Use of Differential Privacy

danah boyd, Jayshree Sarathy

HDSR: MIT Press | June 2022

Project

Confidential Containers

More and more of the world’s cloud computation is containerized, but these containers are not safe. From web servers to machine learning models, containerization empowers users to build functionality that can be effortlessly moved into…

Publication

MOESI-prime: preventing coherence-induced hammering in commodity workloads

Kevin Loughlin, Stefan Saroiu, Alec Wolman, Yatin A. Manerkar, Baris Kasikci

49th International Symposium on Computer Architecture (ISCA) | June 2022

Project

Publication

Privacy Leakage in Text Classification: A Data Extraction Approach

Adel Elmahdy, Huseyin Inan, Robert Sim

June 2022

Security, privacy, and cryptography

Highlights