SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Showing 151200 of 403 papers

TitleStatusHype
Modeling Adversarial Noise for Adversarial TrainingCode0
Robust Decision Trees Against Adversarial ExamplesCode0
Robust Physics-based Deep MRI Reconstruction Via Diffusion PurificationCode0
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative DenoisingCode0
Learning Defense Transformers for Counterattacking Adversarial ExamplesCode0
Lightweight Defense Against Adversarial Attacks in Time Series ClassificationCode0
Detection of Word Adversarial Examples in NLP: Benchmark and Baseline via Robust Density EstimationCode0
A Provable Defense for Deep Residual NetworksCode0
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density EstimationCode0
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density EstimationCode0
Testing Robustness Against Unforeseen AdversariesCode0
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density ModelingCode0
Efficient Formal Safety Analysis of Neural NetworksCode0
Robustness for Non-Parametric Classification: A Generic Attack and DefenseCode0
Detection of Adversarial Examples in NLP: Benchmark and Baseline via Robust Density EstimationCode0
Detection and Defense of Unlearnable ExamplesCode0
Adversarial Defense via Learning to Generate Diverse AttacksCode0
A New Defense Against Adversarial Images: Turning a Weakness into a StrengthCode0
Delving into Transferable Adversarial Examples and Black-box AttacksCode0
Neural Fingerprints for Adversarial Attack DetectionCode0
Learn from the Past: A Proxy Guided Adversarial Defense Framework with Self Distillation RegularizationCode0
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust AccuraciesCode0
Language Guided Adversarial PurificationCode0
Defensive Few-shot LearningCode0
Is AmI (Attacks Meet Interpretability) Robust to Adversarial Examples?Code0
AOGNets: Compositional Grammatical Architectures for Deep LearningCode0
MAD: Meta Adversarial Defense BenchmarkCode0
Language-Driven Anchors for Zero-Shot Adversarial RobustnessCode0
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial DefenseCode0
Privacy Risks of Securing Machine Learning Models against Adversarial ExamplesCode0
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative ModelsCode0
Improving Adversarial Robustness via Guided Complement EntropyCode0
Learning Energy-Based Models With Adversarial TrainingCode0
Defense Against Adversarial Attacks using Convolutional Auto-EncodersCode0
Adversarial Defense via Data Dependent Activation Function and Total Variation MinimizationCode0
Defense against Adversarial Attacks Using High-Level Representation Guided DenoiserCode0
Feature Denoising for Improving Adversarial RobustnessCode0
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial DefenseCode0
Defending Substitution-Based Profile Pollution Attacks on Sequential RecommendersCode0
Analysis and Extensions of Adversarial Training for Video ClassificationCode0
Defending against black-box adversarial attacks with gradient-free trained sign activation neural networksCode0
Defending Against Universal Attacks Through Selective Feature RegenerationCode0
Improving Adversarial Robustness via Decoupled Visual Representation MaskingCode0
Accidental Misalignment: Fine-Tuning Language Models Induces Unexpected VulnerabilityCode0
Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix ApproachCode0
Improving Out-of-Distribution Data Handling and Corruption Resistance via Modern Hopfield NetworksCode0
Defending against adversarial attacks on medical imaging AI system, classification or detection?Code0
Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural NetworksCode0
CAAD 2018: Generating Transferable Adversarial ExamplesCode0
GraphDefense: Towards Robust Graph Convolutional NetworksCode0
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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