SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 403 papers

TitleStatusHype
Ensemble-based Adversarial Defense Using Diversified Distance Mapping—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
Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense—0
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images—0
Fast Adversarial Training against Textual Adversarial Attacks—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
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments—0
General Adversarial Defense via Pixel Level and Feature Level Distribution Alignment—0
Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN—0
Neural Ensemble Search via Bayesian Sampling—0
Gradient-Free Adversarial Purification with Diffusion Models—0
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning—0
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds—0
How vulnerable is my policy? Adversarial attacks on modern behavior cloning policies—0
Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models—0
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples—0
Improved Adversarial Robustness via Logit Regularization Methods—0
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense—0
Improved Autoregressive Modeling with Distribution Smoothing—0
MadNet: Using a MAD Optimization for Defending Against Adversarial Attacks—0
Improving Adversarial Defense with Self-supervised Test-time Fine-tuning—0
Improving Global Adversarial Robustness Generalization With Adversarially Trained GAN—0
Improving Hierarchical Adversarial Robustness of Deep Neural Networks—0
Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training—0
Internal Wasserstein Distance for Adversarial Attack and Defense—0
Invertible Image Dataset Protection—0
L 1-norm double backpropagation adversarial defense—0
Landscape Learning for Neural Network Inversion—0
Large Language Model Sentinel: LLM Agent for Adversarial Purification—0
Layer-wise Adversarial Defense: An ODE Perspective—0
Lyapunov-Stable Deep Equilibrium Models—0
Learning to Defend by Learning to Attack—0
Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense—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
L_p-norm Distortion-Efficient Adversarial Attack—0
Manifold Projection for Adversarial Defense on Face Recognition—0
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders—0
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks—0
MGE: A Training-Free and Efficient Model Generation and Enhancement Scheme—0
MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense—0
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking—0
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models—0
Modeling Adversarial Noise for Adversarial Defense—0
Multi-head Uncertainty Inference for Adversarial Attack Detection—0
On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense—0
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced 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