LLNL and Partners Emphasize the Urgency of AI Safety Measures at Recent Workshop hpcwire.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from hpcwire.com Daily Mail and Mail on Sunday newspapers.
Human- and machine-generated prose may one day be indistinguishable. But that does not quell academics’ search for an answer to the question “What makes prose human?”
Training an AI model is critical to effective integration hedgeweek.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from hedgeweek.com Daily Mail and Mail on Sunday newspapers.
Srijan Kumar [Assistant Professor, CSE, Georgia Institute of Technology]
Diyi Yang [Assistant Professor, CSE, Georgia Institute of Technology]
Abstract
As society and technology becomes increasingly interconnected, so does the threat landscape. Once isolated threats now pose serious concerns to highly interdependent systems, highlighting the fundamental need for robust machine learning. This dissertation contributes novel tools, algorithms, databases and models through the lens of robust machine learning in a research effort to solve large-scale societal problems affecting millions of people in the areas of cybersecurity and healthcare.
1. Tools: We develop TIGER, the first comprehensive graph robustness toolbox; and our Robustness Survey identifies critical yet missing areas of graph robustness research.