Abstraction of Neural Network

Verification of NN is crucial with their rise in safety-critical applications, as neural networks can be fooled by applying small perturbations to the input. However, we face heavy scalability issues due to the size of modern architectures. To this end, we provide abstraction frameworks to reduce the size of the NN while keeping guarantees. (DeepAbstract, LiNNA)

Team

Tools

Publications

2023
Syntactic vs Semantic Linear Abstraction and Refinement of Neural Networks  
Calvin Chau, Jan Křetínský, Stefanie Mohr
ATVA 2023
2020
DeepAbstract: Neural Network Abstraction for Accelerating Verification  
Pranav Ashok, Vahid Hashemi, Jan Křetínský, Stefanie Mohr
ATVA 2020