Security, privacy, and cryptography
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Research talk: Building towards a responsible data economy
Speaker: Dawn Song, Professor, UC Berkeley Data is a key driver of the modern economy and AI/machine learning. However, a lot of this data is sensitive, and handling sensitive data has caused unprecedented challenges for…
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Research talk: DARPA SafeDocs: an approach to secure parsing and information interchange formats
Speaker: Sergey Bratus, Program Manager, DARPA DARPA and MITRE estimate that 80 percent of software security vulnerabilities have incorrect input validation as their root cause. In such scenarios, attackers provide malformed input, which, when not…
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Closing remarks: The Future of Privacy and Security
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit
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Panel: Privacy preserving machine learning
In this panel, Microsoft’s Senior Researcher Shruti Tople will lead a discussion with prominent privacy and security researchers on the state of research in secure computation, differential privacy, and related technologies. The panel will explore…
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Technology demo: Using technology to combat human trafficking
Microsoft is a founding member of Tech Against Trafficking (TAT) – a coalition of organizations working to combat human trafficking with technology. In this session, we will introduce partnerships with the Counter Trafficking Data Collaborative…
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Keynote: Unlocking exabytes of training data through privacy preserving machine learning
Speaker: Jim Kleewein, Technical Fellow, Microsoft Data is the lifeblood of AI and machine learning. The better the model, and the better the data that model is trained on, the better the outcome. Today’s models…
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Panel: Building for societal resilience
We are learning that building for societal resilience requires change in how we pursue research and engineering. This panel discusses what we have learned during the COVID response: how existing projects adapted to new and…
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Demo: Generating formally proven low-level parsers with EverParse
Speaker: Aseem Rastogi, Principal Researcher, Microsoft Research India DARPA and MITRE estimate that 80 percent of software security vulnerabilities have incorrect input validation as their root cause. In such scenarios, attackers provide malformed input, which,…
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Research talk: Privacy in machine learning research at Microsoft
Speaker: Melissa Chase, Principal Researcher, Microsoft Research Redmond Training modern machine learning models requires large amounts of data, and often that data may be private or confidential. The area of privacy-preserving machine learning looks at…
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Tutorial, Research talk, and Q&A: ElectionGuard: Enabling voters to verify election integrity
00:00 Tutorial: ElectionGuard: Enabling voters to verify election integrity Speaker: Josh Benaloh, Senior Principal Cryptographer, Microsoft Research Redmond This tutorial will describe Microsoft’s free, open-source ElectionGuard toolkit, which can be incorporated into new and existing…
