Neural Network Verification is a Programming Language Challenge
Neural network verification is a new and rapidly developing field of research. So far, the
main priority has been establishing efficient verification algorithms and tools, while proper …
main priority has been establishing efficient verification algorithms and tools, while proper …
A Certified Proof Checker for Deep Neural Network Verification
Recent advances in the verification of deep neural networks (DNNs) have opened the way
for broader usage of DNN verification technology in many application areas, including safety …
for broader usage of DNN verification technology in many application areas, including safety …
Wave Digital Modeling of Circuits with Multiple One-Port Nonlinearities Based on Lipschitz-Bounded Neural Networks
Neural networks have found application within the Wave Digital Filters (WDFs) framework as
data-driven input-output blocks for modeling single one-port or multi-port nonlinear devices …
data-driven input-output blocks for modeling single one-port or multi-port nonlinear devices …
Automated Repair of AI Code with Large Language Models and Formal Verification
The next generation of AI systems requires strong safety guarantees. This report looks at the
software implementation of neural networks and related memory safety properties, including …
software implementation of neural networks and related memory safety properties, including …