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 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…
Descriptive Ethics for COVID19 Apps
Summary The COVID19 pandemic spread across the world in late 2019 and early 2020. As the pandemic spread, technologists joined forces with public health officials to develop apps to support COVID19 response, including contact tracing…
Harnessing the problem-solving power of quantum computing
Quantum computers are not only set to revolutionize the way we think about computing, but they also hold the potential to change our understanding of the world. The ability to leverage unique quantum phenomena such…
Harnessing the problem-solving power of quantum computing webinar
In this webinar, Anita Ramanan, a Senior Quantum Software Engineer at Microsoft, will take you on a quantum journey, starting with a walk-through of potential applications and continuing with an explanation of what makes quantum…
IP07: Supersingular Isogeny Graphs in Cryptography
IP07: Kristin Lauter: Supersingular Isogeny Graphs in Cryptography Talk given at the SIAM Conference on Applied Algebraic Geometry 2019.
Private AI: Machine Learning on Encrypted Data [Keynote]
As the world adopts Artificial Intelligence, the privacy risks are many. AI can improve our lives, but may leak or misuse our private data. Private AI is based on Homomorphic Encryption (HE), a new encryption…