Computer Science > Machine Learning
[Submitted on 21 Sep 2021 (v1), last revised 4 Oct 2021 (this version, v2)]
Title:Introduction to Neural Network Verification
View PDFAbstract:Deep learning has transformed the way we think of software and what it can do. But deep neural networks are fragile and their behaviors are often surprising. In many settings, we need to provide formal guarantees on the safety, security, correctness, or robustness of neural networks. This book covers foundational ideas from formal verification and their adaptation to reasoning about neural networks and deep learning.
Submission history
From: Aws Albarghouthi [view email][v1] Tue, 21 Sep 2021 16:57:01 UTC (2,465 KB)
[v2] Mon, 4 Oct 2021 18:38:55 UTC (1,752 KB)
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