2021/09/21 by Aws Albarghouthi, Albarghouthi, Aws · 1 voice · 11 citations
Computer Science · #cs.AI #cs.LG #cs.PL
paper · pdf · doi:10.48550/arxiv.2109.10317
arxiv created 2021/10/04 · arxiv updated 2021/10/06
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.