A Unified Algebraic Perspective on Lipschitz Neural Networks

Benchmark Model Rank Results
provable-adversarial-defense-on-cifar-10SLL X-Large#1Accuracy: 70.3
provable-adversarial-defense-on-cifar-10SLL Large#2Accuracy: 69.8
provable-adversarial-defense-on-cifar-10SLL Medium#3Accuracy: 69.1
provable-adversarial-defense-on-cifar-10SLL Small#4Accuracy: 68.1
provable-adversarial-defense-on-cifar-100SLL X-Large#1Accuracy: 42.7
provable-adversarial-defense-on-cifar-100SLL Large#2Accuracy: 42.1
provable-adversarial-defense-on-cifar-100SLL Medium#3Accuracy: 41.5
provable-adversarial-defense-on-cifar-100SLL Small#4Accuracy: 40.7