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Effective Ambiguity Attack Against Passport-Based DNN Intellectual Property Protection Schemes Through Fully Connected Layer Substitution

CVPR 2023 · Adversarial robustness and security › Attacks on text and graphs · approach: Neural network watermarking · 18 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace passport layers with CERB blocksPassport-protected AlexNet and ResNet18 · CIFAR10, varying passport-layer countsACC (%): 64.82 -> 84.22Helped
Use CERB instead of IERBPassport-protected AlexNet and ResNet18 · CIFAR10, varying passport-layer countsBDR: 27.95 -> 80.30Helped
Replace direct affine-factor optimization with CERBPassport-protected ResNet18 · CIFAR100, 1000 examples (2%)ACC (%): 53.91 -> 70.12Helped
Replace passport layers with CERB blocksPassport-protected ResNet18 · Caltech256, last 10 passport layersACC (%): 24.93 -> 47.85Helped
Use CERB rather than IERBPassport-protected ResNet18 · CIFAR10, non-overlapping data, 2000 examples (5%)BDR: 49.20 -> 93.44Helped
Add CERB blocks at passport-layer locations (ablation)Passport-protected ResNet18 · Caltech-256ACC (%): 25.03 -> 47.07Helped
Increase CERB depth beyond 2 MLP layers (ablation)CERB attack on passport-protected ResNet18 · CIFAR10, 10 passport layersACC (%): 92.24 -> 86.85; 92.24 -> 84.18; 92.24 -> 86.45Hurt
Replace LeakyReLU with tanh or Sigmoid (ablation)CERB attack on passport-protected ResNet18 · CIFAR10, 10 passport layersACC (%): 92.87 -> 92.54; 92.87 -> 92.80No clear effect
Use CERB with a forged signatureGreedy-Residual watermark model · Caltech256-ResNet18ACC (%): 54.98 -> 54.37No clear effect

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