Security, privacy, and cryptography
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Emerging Hardware Acceleration for Fully Homomorphic Encryption
Host: Patrick Longa, Microsoft Research RedmondSpeaker: Minxuan Zhou, Illinois Institute of Technology Fully homomorphic encryption (FHE) is crucial for post-quantum privacy-preserving computing. Researchers have proposed various FHE schemes that excel at different encrypted computations, such…
Microsoft Research ブログ
Vega: Zero-knowledge proofs for digital identity in the age of AI
Vega turns a full credential into a single proof, sharing only what is needed and nothing more, with performance that works in real apps.
Microsoft Research ブログ
SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests
Using SocialReasoning Bench, we observed a stable pattern across models—agents execute competently, but fail to consistently improve the user’s position, even with explicit instructions to optimize for user interest.
