SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Showing 101125 of 403 papers

TitleStatusHype
Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion CriteriaCode0
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model TrainingCode1
Revisiting Adversarial Robustness Distillation from the Perspective of Robust FairnessCode0
Language Guided Adversarial PurificationCode0
MAD: Meta Adversarial Defense BenchmarkCode0
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense0
Robust Physics-based Deep MRI Reconstruction Via Diffusion PurificationCode0
DAD++: Improved Data-free Test Time Adversarial DefenseCode0
DiffDefense: Defending against Adversarial Attacks via Diffusion ModelsCode1
Robust Adversarial Defense by Tensor Factorization0
Robustifying Point Cloud Networks by RefocusingCode0
AdvFAS: A robust face anti-spoofing framework against adversarial examplesCode0
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion ModelsCode1
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion ModelsCode1
Making Pre-trained Language Models both Task-solvers and Self-calibratorsCode0
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-IdentificationCode0
ATWM: Defense against adversarial malware based on adversarial training0
Enhancing Adversarial Robustness via Score-Based OptimizationCode1
DIFFender: Diffusion-Based Adversarial Defense against Patch AttacksCode1
Revisiting and Advancing Adversarial Training Through A Simple Baseline0
Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method0
A Closer Look at the Adversarial Robustness of Deep Equilibrium ModelsCode0
Constructing Semantics-Aware Adversarial Examples with a Probabilistic PerspectiveCode0
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach0
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial RobustnessCode0
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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