SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

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Showing 151–200 of 403 papers

TitleStatusHype
Adaptive Batch Normalization Networks for Adversarial Robustness—0
Adversarial Examples for Electrocardiograms—0
Lyapunov-Stable Deep Equilibrium Models—0
Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships—0
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses—0
Modeling Adversarial Noise for Adversarial Defense—0
Are classical deep neural networks weakly adversarially robust?—0
Large Language Model Sentinel: LLM Agent for Adversarial Purification—0
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness—0
A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles—0
Adversarial Evasion Attack Efficiency against Large Language Models—0
EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks—0
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles—0
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model—0
Layer-wise Adversarial Defense: An ODE Perspective—0
Efficient Two-Step Adversarial Defense for Deep Neural Networks—0
Adversarial Defense via Neural Oscillation inspired Gradient Masking—0
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation—0
L 1-norm double backpropagation adversarial defense—0
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense—0
Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks—0
Attention, Please! Adversarial Defense via Activation Rectification and Preservation—0
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models—0
Ensemble-based Adversarial Defense Using Diversified Distance Mapping—0
Adversarial Attacks and Defences for Skin Cancer Classification—0
Invertible Image Dataset Protection—0
Landscape Learning for Neural Network Inversion—0
Evaluating Deception Detection Model Robustness To Linguistic Variation—0
Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs—0
Exploiting Safe Spots in Neural Networks for Preemptive Robustness and Out-of-Distribution Detection—0
Benchmarking adversarial attacks and defenses for time-series data—0
Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense—0
Improving Global Adversarial Robustness Generalization With Adversarially Trained GAN—0
Fast Adversarial Training against Textual Adversarial Attacks—0
Anomaly Detection in Unsupervised Surveillance Setting Using Ensemble of Multimodal Data with Adversarial Defense—0
Improving Hierarchical Adversarial Robustness of Deep Neural Networks—0
Adversarial Attacks and Defenses: An Interpretation Perspective—0
Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference—0
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation—0
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization—0
Demotivate adversarial defense in remote sensing—0
Adversarial Defense via Local Flatness Regularization—0
Active Adversarial Noise Suppression for Image Forgery Localization—0
Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training—0
Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework—0
Defensive Tensorization: Randomized Tensor Parametrization for Robust Neural Networks—0
Neural Ensemble Search via Bayesian Sampling—0
Bypassing DARCY Defense: Indistinguishable Universal Adversarial Triggers—0
Gradient-Free Adversarial Purification with Diffusion Models—0
Defensive Dual Masking for Robust Adversarial Defense—0
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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