Security, privacy, and cryptography
Video
Kristin Lauter’s TED Talk on Private AI at Congreso Futuro
Recent leaps in the fields of computing and artificial intelligence offer us until recently unimaginable solutions in sectors that determine our well-being, such as health, safety, or food. Kristin Lauter talks about Private AI during…
Video
Differential Privacy in Practice at Microsoft: Windows
Learn how we use differential privacy to protect users’ data in Windows. Learn More: Azure Blog Responsible ML Azure ML
Publication
OpenDP Platform for Differential Privacy
Event
IEEE Symposium on S&P
Microsoft is proud to be a Platinum sponsor of the 41st IEEE Symposium on Security and Privacy. The event will be held virtually this year on May 18-20, 2020.
Publication
CrypTFlow: Secure TensorFlow Inference
Project
Project Verona
Adoption of the cloud requires trust, but software vulnerabilities can quickly erode that trust. There is a real drive in the industry to make memory safety vulnerabilities a thing of the past. Project Verona is…
Project
Confidential AI
Our goal is to make Azure the most trustworthy cloud platform for AI. The platform we envisage offers confidentiality and integrity against privileged attackers including attacks on the code, data and hardware supply chains, performance…
Project
Project FLUTE
A novel framework for training models in a Federated Learning fashion. One of the novelties of the project is the first attempt to introduce Federated Learning in Speech Recognition tasks. Besides the novelty of the…