SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Showing 351375 of 403 papers

TitleStatusHype
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIsCode0
Image Super-Resolution as a Defense Against Adversarial AttacksCode0
Robust MRI Reconstruction by Smoothed Unrolling (SMUG)Code0
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label PropagationCode0
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSMCode0
Adversarial Defense by Restricting the Hidden Space of Deep Neural NetworksCode0
A Game-Based Approximate Verification of Deep Neural Networks with Provable GuaranteesCode0
Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion CriteriaCode0
Improving Adversarial Robustness via Decoupled Visual Representation MaskingCode0
Improving Adversarial Robustness via Guided Complement EntropyCode0
Robustifying Point Cloud Networks by RefocusingCode0
Robust width: A lightweight and certifiable adversarial defenseCode0
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural NetworkCode0
Improving Out-of-Distribution Data Handling and Corruption Resistance via Modern Hopfield NetworksCode0
Safety Verification of Deep Neural NetworksCode0
Salient Feature Extractor for Adversarial Defense on Deep Neural NetworksCode0
Interpretability-Guided Test-Time Adversarial DefenseCode0
Sample Correlation for Fingerprinting Deep Face RecognitionCode0
Is AmI (Attacks Meet Interpretability) Robust to Adversarial Examples?Code0
A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example DetectionCode0
Scaleable input gradient regularization for adversarial robustnessCode0
Language Guided Adversarial PurificationCode0
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 DetectionCode0
AdvFAS: A robust face anti-spoofing framework against adversarial examplesCode0
Countering Adversarial Images using Input TransformationsCode0
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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