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cs.LG2022★ 1 cited
Chordal Sparsity for SDP-based Neural Network Verification
Anton Xue, Lars Lindemann, Rajeev Alur
Neural networks are central to many emerging technologies, but verifying their correctness remains a major challenge. It is known that network outputs can be sensitive and fragile…
cs.LG2022
Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks
Anton Xue, Lars Lindemann, Alexander Robey +3
Lipschitz constants of neural networks allow for guarantees of robustness in image classification, safety in controller design, and generalizability beyond the training data. As ca…