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cs.AI2022
Safety Verification for Neural Networks Based on Set-boundary Analysis
Zhen Liang, Dejin Ren, Wanwei Liu +3
Neural networks (NNs) are increasingly applied in safety-critical systems such as autonomous vehicles. However, they are fragile and are often ill-behaved. Consequently, their beha…
math.OC2022
Reach-avoid Verification Based on Convex Optimization
Bai Xue, Naijun Zhan, Martin Fränzle +2
In this paper we propose novel optimization-based methods for verifying reach-avoid (or, eventuality) properties of continuous-time systems modelled by ordinary differential equati…