Newly discovered principle reveals how adversarial training can perform robust deep learning
In machine learning, adversarial examples usually refer to natural inputs plus small, specially crafted perturbations that can fool the model into making mistakes. In recent years, adversarial examples have been repeatedly discovered in deep learning…
DNS Exfiltration Detection
Develop characteristic features of malicious DNS queries and Build anomaly detection models
Microsoft at STOC 2020
Microsoft is proud to be a sponsor of the 52nd Annual ACM Symposium on Theory of Computing (STOC). See detailed information on Microsoft’s contributions to the program.
2020 Microsoft Research Dissertation Grant supports students’ cutting-edge work
This year marks the fourth year of the Microsoft Research Dissertation Grant, which offers grants of up to $25,000 to support the research of students nearing the completion of doctoral degrees at North American universities…
Provably efficient reinforcement learning with Dr. Akshay Krishnamurthy
MSR’s New York City lab is home to some of the best reinforcement learning research on the planet but if you ask any of the researchers, they’ll tell you they’re very interested in getting it…