SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Showing 201250 of 403 papers

TitleStatusHype
NOMARO: Defending against Adversarial Attacks by NOMA-Inspired Reconstruction OperationCode0
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch DetectionCode1
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial RobustnessCode1
Class-Disentanglement and Applications in Adversarial Detection and Defense0
Person Re-identification Method Based on Color Attack and Joint DefenceCode1
Rebuild and Ensemble: Exploring Defense Against Text Adversaries0
Detection of Adversarial Examples in NLP: Benchmark and Baseline via Robust Density EstimationCode0
LSA: Modeling Aspect Sentiment Coherency via Local Sentiment AggregationCode0
Game Theory for Adversarial Attacks and DefensesCode0
Modeling Adversarial Noise for Adversarial Defense0
Improving Adversarial Defense with Self-supervised Test-time Fine-tuning0
Towards Achieving Adversarial Robustness Beyond Perceptual Limits0
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view InconsistencyCode0
Modeling Adversarial Noise for Adversarial TrainingCode0
TREATED:Towards Universal Defense against Textual Adversarial Attacks0
Neural Ensemble Search via Bayesian Sampling0
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural NetworksCode1
Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework0
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense0
RAILS: A Robust Adversarial Immune-inspired Learning SystemCode1
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations0
Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-offCode1
Voting for the right answer: Adversarial defense for speaker verificationCode0
Adversarial Robustness via Fisher-Rao RegularizationCode0
Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training0
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning0
Adaptive Feature Alignment for Adversarial Training0
Demotivate adversarial defense in remote sensing0
Salient Feature Extractor for Adversarial Defense on Deep Neural NetworksCode0
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs0
Evaluating Deception Detection Model Robustness To Linguistic Variation0
The art of defense: letting networks fool the attackerCode1
Fast Certified Robust Training with Short WarmupCode1
Improved Autoregressive Modeling with Distribution Smoothing0
LiBRe: A Practical Bayesian Approach to Adversarial DetectionCode1
Learning Defense Transformers for Counterattacking Adversarial ExamplesCode0
Internal Wasserstein Distance for Adversarial Attack and Defense0
Improving Global Adversarial Robustness Generalization With Adversarially Trained GAN0
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution HeterogeneityCode1
Improving Hierarchical Adversarial Robustness of Deep Neural Networks0
Towards Adversarial-Resilient Deep Neural Networks for False Data Injection Attack Detection in Power Grids0
Adversarial defense for automatic speaker verification by cascaded self-supervised learning models0
Robust Android Malware Detection System against Adversarial Attacks using Q-Learning0
A Comprehensive Evaluation Framework for Deep Model Robustness0
A Person Re-identification Data Augmentation Method with Adversarial Defense EffectCode1
Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning MethodCode1
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds0
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series0
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing0
Layer-wise Adversarial Defense: An ODE Perspective0
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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