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pro vyhledávání: '"Gary McGraw"'
Publikováno v:
Proceedings of the 2023 International Technical Meeting of The Institute of Navigation.
Autor:
Tim Murphy, Matt Harris, Glaucia Balvedi, Gary McGraw, Joel Wichgers, Linda Lavik, Morten Topland, Mutaz Tuffaha, Susumu Saito
Publikováno v:
ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation.
Autor:
Susumu Saito, Takayuki Yoshihara, Tim Murphy, Matt Harris, Glaucia Balvedi, Gary McGraw, Joel Wichgers, Linda Lavik, Morten Topland, Mutaz Tuffaha
Publikováno v:
ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation.
Autor:
Gianluca Zampieri, Gary McGraw, Okuary Osechas, Brandon Weaver, Michael Meurer, Sai Kalyanaraman
Publikováno v:
ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation.
Publikováno v:
Computer. 53:57-61
Our recent architectural risk analysis of machine learning systems identified 78 particular risks associated with nine specific components found in most machine learning systems. In this article, we describe and discuss the 10 most important security
Autor:
Tim Murphy, Matt Harris, Glaucia Balvedi, Gary McGraw, Joel Wichgers, Linda Lavik, Morten Topland, Mutaz Tuffaha, Susumu Saito
Publikováno v:
The International Technical Meeting of the The Institute of Navigation.
Autor:
Tim Murphy, Mutaz Tuffaha, Susumu Saito, Linda Lavik, Joel Wichgers, Matt Harris, Gary McGraw, Morten Topland
Publikováno v:
Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021).
This paper describes an alternative architecture candidate proposal for consideration for the future Dual Frequency MultiConstellation (DFMC) Ground Based Augmentation System (GBAS). The GBAS architecture candidate builds off the work done over the l
Publikováno v:
Computer. 52:54-57
Artificial intelligence is in the midst of a popular resurgence in the guise of machine learning (ML). Neural networks and deep learning architectures have been shown empirically to solve many real-world problems. We ask what kinds of risks ML system
Autor:
Gary McGraw
Publikováno v:
Proceedings of the 3rd ACM SIGSOFT International Workshop on Software Security from Design to Deployment.
Machine Learning appears to have made impressive progress on many tasks including image classification, machine translation, autonomous vehicle control, playing complex games including chess, Go, and Atari video games, and more. This has led to much
Autor:
Gary McGraw
Publikováno v:
IEEE Security & Privacy. 16:4-9
Kathleen Fisher is a professor in and chair of the Tufts Department of Computer Science. Previously, Dr. Fisher was a program manager at DARPA, where she started and managed High-Assurance Cyber Military Systems (HACMS) and Probabilistic Programming