65 citations · 306 across the 20 of their papers we have counts for
5 papers · 1 filter
Provable Fairness for Neural Network Models using Formal Verification
Giorgian Borca-Tasciuc, Xingzhi Guo, Stanley Bak +1
Machine learning models are increasingly deployed for critical decision-making tasks, making it important to verify that they do not contain gender or racial biases picked up from…
Provably Safe Reinforcement Learning via Action Projection using Reachability Analysis and Polynomial Zonotopes
Niklas Kochdumper, Hanna Krasowski, Xiao Wang +2
While reinforcement learning produces very promising results for many applications, its main disadvantage is the lack of safety guarantees, which prevents its use in safety-critica…
Fully-Automated Verification of Linear Systems Using Inner- and Outer-Approximations of Reachable Sets
Mark Wetzlinger, Niklas Kochdumper, Stanley Bak +1
Reachability analysis is a formal method to guarantee safety of dynamical systems under the influence of uncertainties. A substantial bottleneck of all reachability algorithms is t…
Open- and Closed-Loop Neural Network Verification using Polynomial Zonotopes
Niklas Kochdumper, Christian Schilling, Matthias Althoff +1
We present a novel approach to efficiently compute tight non-convex enclosures of the image through neural networks with ReLU, sigmoid, or hyperbolic tangent activation functions.…
Neural Network Compression of ACAS Xu Early Prototype is Unsafe: Closed-Loop Verification through Quantized State Backreachability
Stanley Bak, Hoang-Dung Tran
ACAS Xu is an air-to-air collision avoidance system designed for unmanned aircraft that issues horizontal turn advisories to avoid an intruder aircraft. Due the use of a large look…