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Jean-Guillaume Durand

1 accepted papers

2026

Lipschitz Optimization for Formal Verification of Homographies

CVPR 2026

The adoption of vision neural networks in regulated industries requires formal robustness guarantees, especially in safety-critical domains such as healthcare, autonomous vehicles, and aerospace. However, current approaches are confined to incomplete statistical verification or robustness to p-norm

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