Security, privacy, & cryptography
Developing technologies that protect data, preserve privacy, and build trustworthy computing systems.
Microsoft Research ブログ
Media Authenticity Methods in Practice: Capabilities, Limitations, and Directions
As synthetic media grows, verifying what’s real, and the origin of content, matters more than ever. Our latest report explores media integrity and authentication methods, their limits, and practical paths toward trustworthy provenance across images,…
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Efficient Homomorphic Integer Computer from CKKS
Fully homomorphic encryption (FHE) has evolved from Gentry’s original blueprint into a diverse family of practical schemes, including BGV/BFV for exact arithmetic, DM/CGGI-style schemes for fast binary computation, and CKKS for high-throughput approximate arithmetic. I…
プロジェクト
FineACL
This project studies the data protection challenges when models and agents interact with sensitive data across multiple users. Large language models (LLMs) are increasingly deployed in enterprise settings where thLarge language models (LLMs) are increasingly…
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Fuzzy Extractors are Practical
Despite decades of effort, a chasm existed between the theory and practice of device-level biometric authentication. Deployed authentication algorithms rely on data that overtly leaks private information about the biometric; thus, systems rely on externalized…
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Microsoft Research India 2025 Highlights
Here are some highlights of the research and impact at Microsoft Research India in 2025, along with some glimpses of the lab milieu.
