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

Source Models Leak What They Shouldn’t: Unlearning Zero-Shot Transfer in Domain Adaptation Through Adversarial Optimization

Arnav Devalapally, Poornima Jain, Kartik Srinivas, Vineeth N Balasubramanian

2026 Computer Vision and Pattern Recognition | June 2026

Publication

Rollbaccine : Herd Immunity against Storage Rollback Attacks in TEEs

David C. Y. Chu, Aditya Balasubramanian, Dee Bao, Natacha Crooks, Heidi Howard, Lucky E. Katahanas, Soujanya Ponnapalli

2026 International Conference on Management of Data | May 2026

Video

Language-Agnostic Detection of Bugs in Zero-Knowledge Proof Programs

May 7, 2026 | Greg Zaverucha, Arman Kolozyan

Host: Greg Zaverucha, Microsoft ResearchSpeaker(s): Arman Kolozyan, Max Planck Institute for Security and Privacy Zero-knowledge proofs (ZKPs) allow a prover to convince a verifier of a statement’s truth without revealing any other information. In recent…

43:22

Publication

Enter, Exit, Page Fault, Leak: Testing Isolation Boundaries for Microarchitectural Leaks

Oleksii Oleksenko, Flavien Solt, Cédric Fournet, Jana Hofmann, Boris Köpf, Stavros Volos

2026 IEEE Symposium on Security and Privacy | May 2026

Accepted at IEEE SP 2025, publication delayed due to embargo.

Project

Microsoft Research Blog

Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale

April 30, 2026 | Gagan Bansal, Shujaat Mirza, Keegan Hines, Will Epperson, Zachary Huang, Whitney Maxwell, Pete Bryan, Tyler Payne, Adam Fourney, Amanda Swearngin, Wenyue Hua, Tori Westerhoff, Amanda Minnich, Maya Murad, Ece Kamar, Ram Shankar Siva Kumar, Saleema Amershi

Safe agents don’t guarantee a safe ecosystem of interconnected agents. Microsoft Research examines what breaks when AI agents interact and why network-level risks require new approaches.