SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Showing 376400 of 403 papers

TitleStatusHype
CAAD 2018: Generating Transferable Adversarial ExamplesCode0
Characterizing Audio Adversarial Examples Using Temporal Dependency0
Adversarial Defense via Data Dependent Activation Function and Total Variation MinimizationCode0
Efficient Formal Safety Analysis of Neural NetworksCode0
Defense Against Adversarial Attacks with Saak Transform0
A Game-Based Approximate Verification of Deep Neural Networks with Provable GuaranteesCode0
Benchmarking Neural Network Robustness to Common Corruptions and Surface VariationsCode1
Customizing an Adversarial Example Generator with Class-Conditional GANs0
Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference0
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative ModelsCode0
Adversarial Defense based on Structure-to-Signal Autoencoders0
Stochastic Activation Pruning for Robust Adversarial DefenseCode0
Are Generative Classifiers More Robust to Adversarial Attacks?Code0
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial ExamplesCode0
Certified Defenses against Adversarial ExamplesCode0
Characterizing Adversarial Subspaces Using Local Intrinsic DimensionalityCode0
Defense against Adversarial Attacks Using High-Level Representation Guided DenoiserCode0
AOGNets: Compositional Grammatical Architectures for Deep LearningCode0
Mitigating Adversarial Effects Through RandomizationCode0
Countering Adversarial Images using Input TransformationsCode0
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute ModelsCode0
Adversarial-Playground: A Visualization Suite Showing How Adversarial Examples Fool Deep LearningCode0
Towards Deep Learning Models Resistant to Adversarial AttacksCode1
Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN0
Delving into Transferable Adversarial Examples and Black-box AttacksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1WRN-28-10Accuracy90.03Unverified
2Diffusion ClassifierAccuracy89.85Unverified
3Stochastic-LWTA/PGD/WideResNet-34-10Accuracy84.3Unverified
4Ours (Stochastic-LWTA/PGD/WideResNet-34-5)Accuracy83.4Unverified
5Ours (Stochastic-LWTA/PGD/WideResNet-34-1)Accuracy81.87Unverified
6ResNet18 (TRADES-ANCRA/PGD-40)Accuracy81.7Unverified
7Stochastic-LWTA/PGD/WideResNet-34-5Attack: AutoAttack81.22Unverified
8PCL (against PGD, white box)Accuracy46.7Unverified
#ModelMetricClaimedVerifiedStatus
1SAT-EfficientNet-L1Accuracy58.6Unverified
2LLR-ResNet-152Accuracy47Unverified
3ResNet-152 free-m=4Accuracy36Unverified
4ResNet-101 free-m=4Accuracy34.3Unverified
5ResNet-50 free-m=4Accuracy31.8Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet101Accuracy99.8Unverified
2InceptionV3Accuracy98.6Unverified
3Feature DenoisingAccuracy49.5Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-152 DenoiseAccuracy42.8Unverified
2ResNeXt-101 DenoiseAllAccuracy40.4Unverified
3ResNet-152Accuracy39Unverified
#ModelMetricClaimedVerifiedStatus
1Defense GANAccuracy0.85Unverified
2PuVAEAccuracy0.81Unverified
#ModelMetricClaimedVerifiedStatus
1Feature DenoisingAccuracy50.6Unverified
#ModelMetricClaimedVerifiedStatus
1Auto Encoder-Block Switching defense with GradCAMAccuracy 88.54Unverified