Cloud and Infrastructure Security Group

설립: September 1, 2007

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.

설립: March 1, 2007

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.

설립: June 1, 2006

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. A number of non-published efforts…

설립: December 1, 2015

Seabed is a project to provide analytics over encrypted Big Data. The challenge is to develop fast yet secure cryptographic techniques that support a suite of applications such as Business Intelligence tools and large-scale Machine Learning frameworks. Towards this, we…