Tech Showcase: Confidential AI: Secure Multi-Party Artificial Intelligence
This project proposes a combination of new secure hardware for acceleration of machine learning (including custom silicon and GPUs), and cryptographic techniques to limit or eliminate information leakage in multi-party AI scenarios. This project is designed to address the privacy and security risks inherent in sharing data sets in the sensitive financial, healthcare, and public sectors.
- Date:
- Haut-parleurs:
- Stavros Volos
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Stavros Volos
Principal Researcher
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Taille: Microsoft Research Faculty Summit
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Quantum Computing and Workforce, Curriculum, and Application Development: Case study
Speakers:- Krysta M. Svore,
- Martin Roetteler
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Crowd, Cloud and the Future of Work: Updates from human AI computation
Speakers:- Besmira Nushi,
- Vani Mandava
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Empowering People to Achieve More: How Useful a Concept is Productivity?
Speakers:- Brendan Murphy
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Productivity in Software Development
Speakers:- Neel Sundaresan,
- Margaret-Anne Storey,
- Prem Kumar Devanbu
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Accessible Virtual Reality
Speakers:- Eyal Ofek
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Calendar.help: A Virtual Meeting Scheduling Assistant
Speakers:- Pamela Bhattacharya
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Visual Studio IntelliCode
Speakers:- Mark Wilson-Thomas
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Microsoft Teams: Collaborate with Any Researcher Anywhere
Speakers:- Jethro Seghers
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Project Alava: Programming Webs of Microcontrollers
Speakers:- James Devine,
- Teddy Seyed
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AI in PowerPoint
Speakers:- Kostas Seleskerov