Machine Learning for Web Security
In this project, we use machine learning to improve web security by addressing these types of attacks. A number of these projects have been used to help protect Bing’s users.
Organizational Infrastructure Security
Protecting an organization's infrastructure from attacks is critical to defending against cyber threats. In this project, we work on projects to detect targeted attacks as well as commodity malware on an organizational computer network.
Machine Learning for Security
In this project, we use machine learning to improve computer security. Primarily, this project involves developing new machine learning methods to detect malware, but has involved other, non-published work on detecting DDOS and cloud-based threats.…
Microsoft Research @ IEEE S&P
Microsoft Research is a silver sponsor of the 38th IEEE Symposium on Security and Privacy at the Fairmont Hotel in San Jose, CA, May 22-24, 2017.
SAIF – Security Artificial Intelligence Foundations Project
In the Security Artificial Intelligence Foundations Project (SAIF, pronounced “Safe”) project, we are actively pursuing new strategies to combat computer security related threats using Artificial Intelligence. Deep learning has provided significant contributions in the areas of…
Accountable Algorithms
Important decisions about people are increasingly made by algorithms: Votes are counted; voter rolls are purged; financial aid decisions are made; taxpayers are chosen for audits; air travelers are selected for enhanced search; credit eligibility…