4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.AI2022
Developing a Series of AI Challenges for the United States Department of the Air Force
Vijay Gadepally, Gregory Angelides, Andrei Barbu +39
Through a series of federal initiatives and orders, the U.S. Government has been making a concerted effort to ensure American leadership in AI. These broad strategy documents have…
cs.CR2018★ 4 cited
Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting
Clement Fung, Jamie Koerner, Stewart Grant +1
Distributed machine learning (ML) systems today use an unsophisticated threat model: data sources must trust a central ML process. We propose a brokered learning abstraction that a…