SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

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Showing 201–250 of 403 papers

TitleStatusHype
Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network RobustnessCode0
Enhancing Adversarial Defense by k-Winners-Take-AllCode0
Adaptive Modeling Against Adversarial AttacksCode0
Defensive Few-shot LearningCode0
Revisiting Adversarial Robustness Distillation from the Perspective of Robust FairnessCode0
Analysis and Extensions of Adversarial Training for Video ClassificationCode0
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal PerspectiveCode0
Learning Energy-Based Models With Adversarial TrainingCode0
Delving into Transferable Adversarial Examples and Black-box AttacksCode0
Language-Driven Anchors for Zero-Shot Adversarial RobustnessCode0
Robust Decision Trees Against Adversarial ExamplesCode0
Detection and Defense of Unlearnable ExamplesCode0
Detection of Adversarial Examples in NLP: Benchmark and Baseline via Robust Density EstimationCode0
Robust MRI Reconstruction by Smoothed Unrolling (SMUG)Code0
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label PropagationCode0
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSMCode0
Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density EstimationCode0
Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion CriteriaCode0
Robust width: A lightweight and certifiable adversarial defenseCode0
Detection of Word Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density EstimationCode0
Struggle with Adversarial Defense? Try Diffusion—0
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack—0
A Comprehensive Evaluation Framework for Deep Model Robustness—0
Active Adversarial Noise Suppression for Image Forgery Localization—0
Adaptive Batch Normalization Networks for Adversarial Robustness—0
Adaptive Feature Alignment for Adversarial Training—0
AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization—0
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend—0
Adversarial Attacks and Defences for Skin Cancer Classification—0
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey—0
Adversarial Attacks and Dimensionality in Text Classifiers—0
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach—0
Adversarial Defense based on Structure-to-Signal Autoencoders—0
Adversarial Defense by Latent Style Transformations—0
Adversarial defense for automatic speaker verification by cascaded self-supervised learning models—0
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning—0
Adversarial defense for deep speaker recognition using hybrid adversarial training—0
Adversarial Defense Teacher for Cross-Domain Object Detection under Poor Visibility Conditions—0
Adversarial Defense Through Network Profiling Based Path Extraction—0
Adversarial Defense via Image Denoising with Chaotic Encryption—0
Adversarial Defense via Local Flatness Regularization—0
Adversarial Defense via Neural Oscillation inspired Gradient Masking—0
Adversarial Evasion Attack Efficiency against Large Language Models—0
Adversarial Examples for Electrocardiograms—0
Adversarial Infrared Curves: An Attack on Infrared Pedestrian Detectors in the Physical World—0
Adversarial Infrared Geometry: Using Geometry to Perform Adversarial Attack against Infrared Pedestrian Detectors—0
Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective—0
Adversarial Attacks and Defenses: An Interpretation Perspective—0
Adversarial Masked Autoencoder Purifier with Defense Transferability—0
Adversarial Robustness through Local Linearization—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