SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Showing 76100 of 403 papers

TitleStatusHype
Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational InferenceCode1
On Evaluating Adversarial RobustnessCode1
Adversarial Defense of Image Classification Using a Variational Auto-EncoderCode0
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-IdentificationCode0
A Game-Based Approximate Verification of Deep Neural Networks with Provable GuaranteesCode0
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural NetworkCode0
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust AccuraciesCode0
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural NetworksCode0
A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example DetectionCode0
Efficient Formal Safety Analysis of Neural NetworksCode0
A Closer Look at the Adversarial Robustness of Deep Equilibrium ModelsCode0
AdvFAS: A robust face anti-spoofing framework against adversarial examplesCode0
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density ModelingCode0
Exploring Adversarially Robust Training for Unsupervised Domain AdaptationCode0
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorchCode0
Adversarial Defense by Suppressing High-frequency ComponentsCode0
ADAPT to Robustify Prompt Tuning Vision TransformersCode0
Adversarial Robustness via Fisher-Rao RegularizationCode0
Adversarial Defense by Stratified Convolutional Sparse CodingCode0
Adversarial Defense by Restricting the Hidden Space of Deep Neural NetworksCode0
CAAD 2018: Generating Transferable Adversarial ExamplesCode0
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated GradientsCode0
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative DenoisingCode0
Adversarial-Playground: A Visualization Suite Showing How Adversarial Examples Fool Deep LearningCode0
Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix ApproachCode0
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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