Neural Network Verification: an Interview with Taylor Johnson, Vanderbilt Computer Science
Автор: Neuro Symbolic
Загружено: 2024-04-03
Просмотров: 477
Описание:
How do we verify the output of a neural network? Taylor Johnson is an Associate Professor of Computer Science at Vanderbilt University and discusses this line of work.
00:00 Introduction
05:06 What is verification
08:30 Challenges of neural network verification
14:43 Verification techniques to measure neural network robustness
29:15 Application to security
33:11 Neurosymbolic AI and verification
37:00 Taylor's advice on the future of the field
Links to papers and software:
https://conf.researchr.org/details/Fo...
https://link.springer.com/chapter/10....
https://github.com/verivital/nnv
The Neuro Symbolic Channel provides the tutorials, courses, and research results on one of the most exciting areas in artificial intelligence and machine learning. With content originally from the AI course taught at Arizona State University, this channel brings you the latest at the intersection of symbolic methods (e.g., logic programming) and deep learning. Learn about the latest algorithms, Python packages, and progress toward larger goals such as artificial general intelligence (AGI).
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