Attila Szász

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks

The ultimate goal of verification is to guarantee the safety of deployed neural networks. Here, we claim that all the state-of-the-art verifiers we are aware of fail to reach this goal. Our key insight is that theoretical soundness (bounding the full-precision output while computing with floating po…