Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA

Ram Shankar Siva Kumar
Data Cowboy, Microsoft (Azure Security)

Ram Shankar is a data cowboy on the Azure security data science team at Microsoft, where his team focuses on modeling massive amounts of security logs to surface malicious activity. His work has appeared in industry conferences like DEF CON, BSides, BlueHat, DerbyCon, MIRCon, Infiltrate, and Strata as well as academic conferences like NIPS and ACM-CCS. Ram holds a degree focused on machine learning and security from Carnegie Mellon University. He’s currently an affiliate at the Berkman Klein Center at Harvard, exploring the intersection of machine learning and security.


11:00am11:40am Thursday, March 28, 2019
Ram Shankar Siva Kumar (Microsoft (Azure Security))
Average rating: ****.
(4.33, 3 ratings)
How can we guarantee that the ML system we develop is adequately protected from adversarial manipulation? Ram Shankar Kumar shares a framework and corresponding best practices to quantitatively assess the safety of your ML systems. Read more.