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Sentiment Analysis on SST-2 (TextFooler attack)

Sentiment Analysis on SST-2 (TextFooler attack)

17.6Robust AccuracyCURE-Scratch

Updated 6mo ago

Evaluation results

Method	Links
CURE-Scratch2024.10		17.6
FLAT2024.10		12.4

State-of-the-art paper

CURE-Scratch

Towards Generalized Certified Robustness with Multi-Norm Training

Dataset

SST

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Related benchmarks

Certified Robustness on CIFAR-100 (test)Image Classification on CIFAR-10 (test) (Certified Robustness L1/L2/Linf)Image Classification on MNIST (Certified Robustness Accuracy)Image Classification on CIFAR-10 (Certified Robustness Bounds)Image Classification on TinyImageNet (Certified Accuracy Metrics)

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