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…
Microsoft Security Risk Detection Helps Digital Transaction Management company DocuSign
Taking paper-driven processes online isn’t easy – but keeping it secure is a whole other matter. To help, global eSignature and Digital Transaction Management (DTM) leader DocuSign recently used Microsoft Security Risk Detection to provide…
Where cryptography and quantum computing intersect
By Kristin Lauter, Principal Researcher, Microsoft Research Last week I spent time at the American Institute of Mathematics in San Jose, working with a group of 20 or so mathematicians and computer scientists on questions…