SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Showing 301350 of 403 papers

TitleStatusHype
Robust Physics-based Deep MRI Reconstruction Via Diffusion PurificationCode0
Defense Against Adversarial Attacks using Convolutional Auto-EncodersCode0
A2: Efficient Automated Attacker for Boosting Adversarial TrainingCode0
Defense against Adversarial Attacks Using High-Level Representation Guided DenoiserCode0
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density ModelingCode0
A Provable Defense for Deep Residual NetworksCode0
Efficient Formal Safety Analysis of Neural NetworksCode0
RAIN: A Simple Approach for Robust and Accurate Image Classification NetworksCode0
Defending Substitution-Based Profile Pollution Attacks on Sequential RecommendersCode0
Adversarial Defense via Data Dependent Activation Function and Total Variation MinimizationCode0
A New Defense Against Adversarial Images: Turning a Weakness into a StrengthCode0
Voting for the right answer: Adversarial defense for speaker verificationCode0
Defending against black-box adversarial attacks with gradient-free trained sign activation neural networksCode0
Testing Robustness Against Unforeseen AdversariesCode0
Technical Report on the CleverHans v2.1.0 Adversarial Examples LibraryCode0
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust AccuraciesCode0
Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network RobustnessCode0
Enhancing Adversarial Defense by k-Winners-Take-AllCode0
Defending Against Universal Attacks Through Selective Feature RegenerationCode0
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-IdentificationCode0
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural NetworksCode0
You Only Propagate Once: Accelerating Adversarial Training via Maximal PrincipleCode0
Adversarial Defense of Image Classification Using a Variational Auto-EncoderCode0
Adversarial Defense by Suppressing High-frequency ComponentsCode0
Exploring Adversarially Robust Training for Unsupervised Domain AdaptationCode0
Revisiting Adversarial Robustness Distillation from the Perspective of Robust FairnessCode0
Language-Driven Anchors for Zero-Shot Adversarial RobustnessCode0
Learning Energy-Based Models With Adversarial TrainingCode0
Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution NetworkCode0
Defending against adversarial attacks on medical imaging AI system, classification or detection?Code0
Feature Denoising for Improving Adversarial RobustnessCode0
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view InconsistencyCode0
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal PerspectiveCode0
Game Theoretic Mixed Experts for Combinational Adversarial Machine LearningCode0
Game Theory for Adversarial Attacks and DefensesCode0
Gated Convolutional Networks with Hybrid Connectivity for Image ClassificationCode0
The Limitations of Deep Learning in Adversarial SettingsCode0
Adversarial Defense by Stratified Convolutional Sparse CodingCode0
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksCode0
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and DefensesCode0
Analysis and Extensions of Adversarial Training for Video ClassificationCode0
Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural NetworksCode0
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image PipelinesCode0
Decorrelative Network Architecture for Robust Electrocardiogram ClassificationCode0
GraphDefense: Towards Robust Graph Convolutional NetworksCode0
Robust Decision Trees Against Adversarial ExamplesCode0
Deciphering the Definition of Adversarial Robustness for post-hoc OOD DetectorsCode0
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional DiscrepancyCode0
Adversarial Examples on Graph Data: Deep Insights into Attack and DefenseCode0
DAD++: Improved Data-free Test Time Adversarial DefenseCode0
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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