SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 403 papers

TitleStatusHype
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness—0
Towards a constructive framework for control theory—0
Sample Correlation for Fingerprinting Deep Face RecognitionCode0
Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Images—0
Defensive Dual Masking for Robust Adversarial Defense—0
A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles—0
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling—0
Sustainable Self-evolution Adversarial Training—0
Neural Fingerprints for Adversarial Attack DetectionCode0
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIsCode0
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost—0
Unitary Multi-Margin BERT for Robust Natural Language ProcessingCode0
Perseus: Leveraging Common Data Patterns with Curriculum Learning for More Robust Graph Neural Networks—0
The Good, the Bad and the Ugly: Watermarks, Transferable Attacks and Adversarial Defenses—0
Secure Video Quality Assessment Resisting Adversarial Attacks—0
Interpretability-Guided Test-Time Adversarial DefenseCode0
Cloud Adversarial Example Generation for Remote Sensing Image Classification—0
Bypassing DARCY Defense: Indistinguishable Universal Adversarial Triggers—0
Certified Causal Defense with Generalizable Robustness—0
TART: Boosting Clean Accuracy Through Tangent Direction Guided Adversarial Training—0
Improving Out-of-Distribution Data Handling and Corruption Resistance via Modern Hopfield NetworksCode0
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks—0
Privacy-preserving Universal Adversarial Defense for Black-box Models—0
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack—0
Deep Adversarial Defense Against Multilevel-Lp Attacks—0
Show:102550
← PrevPage 5 of 17Next →
All datasetsCIFAR-10ImageNet (non-targeted PGD, max perturbation=4)ImageNetImageNet (targeted PGD, max perturbation=16)MNISTCAAD 2018miniImageNet

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1WRN-28-10Accuracy90.03—Unverified
2Diffusion ClassifierAccuracy89.85—Unverified
3Stochastic-LWTA/PGD/WideResNet-34-10Accuracy84.3—Unverified
4Ours (Stochastic-LWTA/PGD/WideResNet-34-5)Accuracy83.4—Unverified
5Ours (Stochastic-LWTA/PGD/WideResNet-34-1)Accuracy81.87—Unverified
6ResNet18 (TRADES-ANCRA/PGD-40)Accuracy81.7—Unverified
7Stochastic-LWTA/PGD/WideResNet-34-5Attack: AutoAttack81.22—Unverified
8PCL (against PGD, white box)Accuracy46.7—Unverified
#ModelMetricClaimedVerifiedStatus
1SAT-EfficientNet-L1Accuracy58.6—Unverified
2LLR-ResNet-152Accuracy47—Unverified
3ResNet-152 free-m=4Accuracy36—Unverified
4ResNet-101 free-m=4Accuracy34.3—Unverified
5ResNet-50 free-m=4Accuracy31.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet101Accuracy99.8—Unverified
2InceptionV3Accuracy98.6—Unverified
3Feature DenoisingAccuracy49.5—Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-152 DenoiseAccuracy42.8—Unverified
2ResNeXt-101 DenoiseAllAccuracy40.4—Unverified
3ResNet-152Accuracy39—Unverified
#ModelMetricClaimedVerifiedStatus
1Defense GANAccuracy0.85—Unverified
2PuVAEAccuracy0.81—Unverified
#ModelMetricClaimedVerifiedStatus
1Feature DenoisingAccuracy50.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Auto Encoder-Block Switching defense with GradCAMAccuracy 88.54—Unverified