SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Showing 201225 of 403 papers

TitleStatusHype
CAAD 2018: Generating Transferable Adversarial ExamplesCode0
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image PipelinesCode0
Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual TrackingCode0
Towards Unified Robustness Against Both Backdoor and Adversarial AttacksCode0
GraphDefense: Towards Robust Graph Convolutional NetworksCode0
Accidental Misalignment: Fine-Tuning Language Models Induces Unexpected VulnerabilityCode0
Defending against adversarial attacks on medical imaging AI system, classification or detection?Code0
PPD: Permutation Phase Defense Against Adversarial Examples in Deep LearningCode0
Defending Against Universal Attacks Through Selective Feature RegenerationCode0
Privacy Risks of Securing Machine Learning Models against Adversarial ExamplesCode0
Defending against black-box adversarial attacks with gradient-free trained sign activation neural networksCode0
Provably Cost-Sensitive Adversarial Defense via Randomized SmoothingCode0
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-IdentificationCode0
Defending Substitution-Based Profile Pollution Attacks on Sequential RecommendersCode0
Defense against Adversarial Attacks Using High-Level Representation Guided DenoiserCode0
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural NetworksCode0
RAIN: A Simple Approach for Robust and Accurate Image Classification NetworksCode0
Defense Against Adversarial Attacks using Convolutional Auto-EncodersCode0
A Simple and Yet Fairly Effective Defense for Graph Neural NetworksCode0
Struggle with Adversarial Defense? Try Diffusion0
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack0
A Comprehensive Evaluation Framework for Deep Model Robustness0
Active Adversarial Noise Suppression for Image Forgery Localization0
Adaptive Batch Normalization Networks for Adversarial Robustness0
Adaptive Feature Alignment for Adversarial Training0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1WRN-28-10Accuracy90.03Unverified
2Diffusion ClassifierAccuracy89.85Unverified
3Stochastic-LWTA/PGD/WideResNet-34-10Accuracy84.3Unverified
4Ours (Stochastic-LWTA/PGD/WideResNet-34-5)Accuracy83.4Unverified
5Ours (Stochastic-LWTA/PGD/WideResNet-34-1)Accuracy81.87Unverified
6ResNet18 (TRADES-ANCRA/PGD-40)Accuracy81.7Unverified
7Stochastic-LWTA/PGD/WideResNet-34-5Attack: AutoAttack81.22Unverified
8PCL (against PGD, white box)Accuracy46.7Unverified
#ModelMetricClaimedVerifiedStatus
1SAT-EfficientNet-L1Accuracy58.6Unverified
2LLR-ResNet-152Accuracy47Unverified
3ResNet-152 free-m=4Accuracy36Unverified
4ResNet-101 free-m=4Accuracy34.3Unverified
5ResNet-50 free-m=4Accuracy31.8Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet101Accuracy99.8Unverified
2InceptionV3Accuracy98.6Unverified
3Feature DenoisingAccuracy49.5Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-152 DenoiseAccuracy42.8Unverified
2ResNeXt-101 DenoiseAllAccuracy40.4Unverified
3ResNet-152Accuracy39Unverified
#ModelMetricClaimedVerifiedStatus
1Defense GANAccuracy0.85Unverified
2PuVAEAccuracy0.81Unverified
#ModelMetricClaimedVerifiedStatus
1Feature DenoisingAccuracy50.6Unverified
#ModelMetricClaimedVerifiedStatus
1Auto Encoder-Block Switching defense with GradCAMAccuracy 88.54Unverified