POLAR-Express: Efficient and Precise Formal Reachability Analysis of
Neural-Network Controlled Systems
- URL: http://arxiv.org/abs/2304.01218v3
- Date: Thu, 6 Apr 2023 02:12:41 GMT
- Title: POLAR-Express: Efficient and Precise Formal Reachability Analysis of
Neural-Network Controlled Systems
- Authors: Yixuan Wang, Weichao Zhou, Jiameng Fan, Zhilu Wang, Jiajun Li, Xin
Chen, Chao Huang, Wenchao Li, Qi Zhu
- Abstract summary: We present POLAR-Express, an efficient and precise formal reachability analysis tool for verifying the safety of neural-network controlled systems (NNCSs)
POLAR-Express uses Taylor model arithmetic to propagate Taylor models across a neural network layer-by-layer to compute an overapproximation of the neural-network function.
We also present a novel approach to propagate TMs more efficiently and precisely across ReLU activation functions.
- Score: 18.369115196505657
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Neural networks (NNs) playing the role of controllers have demonstrated
impressive empirical performances on challenging control problems. However, the
potential adoption of NN controllers in real-life applications also gives rise
to a growing concern over the safety of these neural-network controlled systems
(NNCSs), especially when used in safety-critical applications. In this work, we
present POLAR-Express, an efficient and precise formal reachability analysis
tool for verifying the safety of NNCSs. POLAR-Express uses Taylor model
arithmetic to propagate Taylor models (TMs) across a neural network
layer-by-layer to compute an overapproximation of the neural-network function.
It can be applied to analyze any feed-forward neural network with continuous
activation functions. We also present a novel approach to propagate TMs more
efficiently and precisely across ReLU activation functions. In addition,
POLAR-Express provides parallel computation support for the layer-by-layer
propagation of TMs, thus significantly improving the efficiency and scalability
over its earlier prototype POLAR. Across the comparison with six other
state-of-the-art tools on a diverse set of benchmarks, POLAR-Express achieves
the best verification efficiency and tightness in the reachable set analysis.
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