Security, privacy, and cryptography

Video

TrustRate: A Decentralized Platform for Hijack-Resistant Anonymous Reviews

April 24, 2024 | Kim Laine

Host: Kim LaineSpeaker: Rohit Dwivedula Reviews and ratings by users form a central component in several widely used products today (e.g., product reviews, ranking content, etc.), but today’s platforms for managing such reviews are centralized,…

video | TrustRate: A Decentralized Platform for Hijack-Resistant Anonymous Reviews

59:30

Publication

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

Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

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

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

Sandi: A System for Accountability and Applications in Direct Communication

Betül Durak, Kim Laine, Simon Langowski, Radames Cruz Moreno

January 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)

Project

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…

Security, privacy, and cryptography

Leveraging Large Language Models for Automated Proof Synthesis in Rust

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

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

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

TrustRate: A Decentralized Platform for Hijack-Resistant Anonymous Reviews

Bigger, not Badder: Safely Scaling BFT Protocols

Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

Summary Statistic Privacy in Data Sharing

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

Content Filtering with Inattentive Information Consumers

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

Sandi: A System for Accountability and Applications in Direct Communication

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

Azure Research

Security, privacy, and cryptography

Highlights