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

Microsoft Research Blog

Preventing side-channels in the cloud

November 12, 2024 | Stavros Volos, Boris Köpf

Sophisticated side-channel attacks present new security challenges for cloud providers. Learn how Microsoft is exploring defenses against emerging attacks with principled microarchitectural isolation:

Icons representing hardware and devices, security, privacy, and cryptography, and systems and networking on a blue to green gradient background.

Publication

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

Yuxin (Myles) Liu, Zhihao Yao, Mingyi Chen, Ardalan Amiri Sani, Sharad Agarwal, Gene Tsudik

MobiCom | November 2024

Dataset Source Code

Crescent

Crescent adds privacy to existing credentials with zero-knowledge. Crescent is a library to generate proofs of possession of JSON Web Tokens (JWT) and mobile Driver’s Licenses (mDL) credentials. By creating a proof for a JWT…

GitHub

Publication

Exploring Continual Fine-Tuning for Enhancing Language Ability in Large Language Model

Divyanshu Aggarwal, Sankarshan Damle, Navin Goyal, Satya Lokam, Sunayana Sitaram

NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles and Scalability | October 2024, Vol abs/2410.16006

Microsoft Research Blog

Research Focus: Week of October 7, 2024

October 9, 2024

Simplifying secure decision tree training; Improving accuracy of audio content detection; A novel neurosymbolic system for converting text to tables; New video series: AI for Business Transformation; TEE security protections for container workloads.