SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 201–250 of 403 papers

TitleStatusHype
RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks—0
On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense—0
Multi-head Uncertainty Inference for Adversarial Attack Detection—0
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial DetectionCode0
Adversarial Attacks and Defences for Skin Cancer Classification—0
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments—0
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial DefenseCode0
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 DetectionCode0
Game Theoretic Mixed Experts for Combinational Adversarial Machine LearningCode0
Adversarial Defense via Neural Oscillation inspired Gradient Masking—0
Robust Boosting Forests with Richer Deep Feature Hierarchy—0
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization—0
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEsCode0
A2: Efficient Automated Attacker for Boosting Adversarial TrainingCode0
Weakly Supervised Invariant Representation Learning Via Disentangling Known and Unknown Nuisance Factors—0
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label PropagationCode0
A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design—0
An Encryption Method of ConvMixer Models without Performance Degradation—0
Rethinking Textual Adversarial Defense for Pre-trained Language Models—0
Defending Substitution-Based Profile Pollution Attacks on Sequential RecommendersCode0
Decorrelative Network Architecture for Robust Electrocardiogram ClassificationCode0
Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders—0
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense—0
AdvSmo: Black-box Adversarial Attack by Smoothing Linear Structure of Texture—0
Landscape Learning for Neural Network Inversion—0
Analysis and Extensions of Adversarial Training for Video ClassificationCode0
EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density ModelingCode0
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density EstimationCode0
A Mask-Based Adversarial Defense Scheme—0
DAD: Data-free Adversarial Defense at Test Time—0
Text Adversarial Purification as Defense against Adversarial Attacks—0
Adversarial Defense via Image Denoising with Chaotic Encryption—0
A Survey of Adversarial Defences and Robustness in NLP—0
A^3D: A Platform of Searching for Robust Neural Architectures and Efficient Adversarial Attacks—0
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density EstimationCode0
Exploring Adversarially Robust Training for Unsupervised Domain AdaptationCode0
Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses—0
Detection of Word Adversarial Examples in NLP: Benchmark and Baseline via Robust Density EstimationCode0
Super-Efficient Super Resolution for Fast Adversarial Defense at the EdgeCode0
Invertible Image Dataset Protection—0
Adaptive Modeling Against Adversarial AttacksCode0
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image PipelinesCode0
NOMARO: Defending against Adversarial Attacks by NOMA-Inspired Reconstruction OperationCode0
Class-Disentanglement and Applications in Adversarial Detection and Defense—0
Detection of Adversarial Examples in NLP: Benchmark and Baseline via Robust Density EstimationCode0
Rebuild and Ensemble: Exploring Defense Against Text Adversaries—0
LSA: Modeling Aspect Sentiment Coherency via Local Sentiment AggregationCode0
Game Theory for Adversarial Attacks and DefensesCode0
Improving Adversarial Defense with Self-supervised Test-time Fine-tuning—0
Towards Achieving Adversarial Robustness Beyond Perceptual Limits—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