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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Bigger, not Badder: Safely Scaling BFT Protocols

David C. Y. Chu, Chris Liu, Natacha Crooks, Joseph M. Hellerstein, Heidi Howard

Principles and Practice of Consistency for Distributed Data (PaPoC’24) | April 2024

Publication

Defending Against Indirect Prompt Injection Attacks With Spotlighting

Keegan Hines, Gary Lopez, Matthew Hall, Federico Zarfati, Yonatan Zunger, Emre Kiciman

ArXiv | March 2024, Vol abs/2403.14720

Publication

Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

Sara Abdali, Richard Anarfi, C. Barberan, Jia He, Erfan Shayegani

March 2024

Publication

Summary Statistic Privacy in Data Sharing

Zinan Lin, Shuaiqi Wang, Vyas Sekar, Giulia Fanti

IEEE Journal on Selected Areas in Information Theory | March 2024

Project

Publication

TRUCE: Private Benchmarking to Prevent Contamination and Improve Comparative Evaluation of LLMs

Nishanth Chandran, Sunayana Sitaram, Divya Gupta, Rahul Sharma, Kashish Mittal, Swami Manohar

February 2024

Github

Publication

Content Filtering with Inattentive Information Consumers

Ian Ball, James Bono, Justin Grana, Nicole Immorlica, Aleksandrs Slivkins, Brendan Lucier

AAAI Conference on Artificial Intelligence | February 2024

Publication

Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data

Mayana Pereira, Meghana Kshirsagar, Sumit Mukherjee, Rahul Dodhia, Juan M. Lavista Ferres, Rafael de Sousa

PLOS ONE | February 2024

Publication

Advancing differential privacy: where we are now and future directions for real-world deployment

Rachel Cummings, Damien Desfontaines, David Evans, Roxana Geambasu, Yangsibo Huang, Matthew Jagielski, Peter Kairouz, Gautam Kamath, Sewoong Oh, Olga Ohrimenko, Nicolas Papernot, Ryan Rogers, Milan Shen, Shuang Song, Weijie Su, Andreas Terzis, Abhradeep Thakurta, Sergei Vassilvitskii, Yu-Xiang Wang, Li Xiong, Da Yu, Sergey Yekhanin, Huanyu Zhang, Wanrong Zhang

Harvard Data Science Review | January 2024, Vol 6(1)

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Group

Azure Research

Azure Research is a federation of research groups within Microsoft Azure. We perform cutting-edge research in close collaboration Microsoft product teams and the broader industrial and academic research community. See the individual team’s pages for…

Microsoft Research Blog

Research Focus: Week of December 4, 2023

December 6, 2023

Research Focus: Using LLMs in a Rust-based formal verification framework; Rethinking network measurements with user feedback; 3D telemedicine using HoloportationTM communication technology could enhance overseas surgical visits.

Security, privacy, and cryptography

Highlights