SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 403 papers

TitleStatusHype
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning—0
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack—0
Bypassing DARCY Defense: Indistinguishable Universal Adversarial Triggers—0
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment—0
Adversarial Defense by Latent Style Transformations—0
Neural Ensemble Search via Bayesian Sampling—0
Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization—0
Certified Causal Defense with Generalizable Robustness—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
Adversarial Masked Autoencoder Purifier with Defense Transferability—0
Class-Aware Domain Adaptation for Improving Adversarial Robustness—0
Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features—0
Class-Disentanglement and Applications in Adversarial Detection and Defense—0
Gradient-Free Adversarial Purification with Diffusion Models—0
MadNet: Using a MAD Optimization for Defending Against Adversarial Attacks—0
Comment on "Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network"—0
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning—0
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization—0
Improving Hierarchical Adversarial Robustness of Deep Neural Networks—0
Adversarial defense for deep speaker recognition using hybrid adversarial training—0
Customizing an Adversarial Example Generator with Class-Conditional GANs—0
DAD: Data-free Adversarial Defense at Test Time—0
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense—0
A Knowledge-guided Adversarial Defense for Resisting Malicious Visual Manipulation—0
Landscape Learning for Neural Network Inversion—0
Adversarial Attacks and Defenses: An Interpretation Perspective—0
Adaptive Feature Alignment for Adversarial Training—0
Adversarial Defense based on Structure-to-Signal Autoencoders—0
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments—0
Benchmarking adversarial attacks and defenses for time-series data—0
Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective—0
Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference—0
Adversarial Infrared Geometry: Using Geometry to Perform Adversarial Attack against Infrared Pedestrian Detectors—0
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach—0
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation—0
General Adversarial Defense via Pixel Level and Feature Level Distribution Alignment—0
ATWM: Defense against adversarial malware based on adversarial training—0
Attention, Please! Adversarial Defense via Activation Rectification and Preservation—0
Adversarial Infrared Curves: An Attack on Infrared Pedestrian Detectors in the Physical World—0
Attack Agnostic Adversarial Defense via Visual Imperceptible Bound—0
A Survey of Adversarial Defences and Robustness in NLP—0
Adversarial Attacks and Dimensionality in Text Classifiers—0
Adversarial Defense Framework for Graph Neural Network—0
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey—0
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles—0
FaceGuard: A Self-Supervised Defense Against Adversarial Face Images—0
Adversarial Examples for Electrocardiograms—0
Adaptive Batch Normalization Networks for Adversarial Robustness—0
Fast Adversarial Training against Textual Adversarial Attacks—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