SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Showing 376400 of 403 papers

TitleStatusHype
Continual Adversarial DefenseCode0
Constructing Semantics-Aware Adversarial Examples with a Probabilistic PerspectiveCode0
Learn from the Past: A Proxy Guided Adversarial Defense Framework with Self Distillation RegularizationCode0
AOGNets: Compositional Grammatical Architectures for Deep LearningCode0
Learning Defense Transformers for Counterattacking Adversarial ExamplesCode0
Unitary Multi-Margin BERT for Robust Natural Language ProcessingCode0
Accidental Misalignment: Fine-Tuning Language Models Induces Unexpected VulnerabilityCode0
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorchCode0
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute ModelsCode0
Characterizing Adversarial Subspaces Using Local Intrinsic DimensionalityCode0
Lightweight Defense Against Adversarial Attacks in Time Series ClassificationCode0
Adversarial Robustness via Fisher-Rao RegularizationCode0
Certified Defenses against Adversarial ExamplesCode0
ADAPT to Robustify Prompt Tuning Vision TransformersCode0
MAD: Meta Adversarial Defense BenchmarkCode0
Making Pre-trained Language Models both Task-solvers and Self-calibratorsCode0
Shedding More Light on Robust Classifiers under the lens of Energy-based ModelsCode0
Masked Language Model Based Textual Adversarial Example DetectionCode0
White-Box Adversarial Defense via Self-Supervised Data EstimationCode0
MaskPure: Improving Defense Against Text Adversaries with Stochastic PurificationCode0
MMA Training: Direct Input Space Margin Maximization through Adversarial TrainingCode0
SimAug: Learning Robust Representations from 3D Simulation for Pedestrian Trajectory Prediction in Unseen CamerasCode0
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated GradientsCode0
Adaptive Modeling Against Adversarial AttacksCode0
Adversarial-Playground: A Visualization Suite Showing How Adversarial Examples Fool Deep LearningCode0
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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