SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Showing 176200 of 403 papers

TitleStatusHype
Robust Physics-based Deep MRI Reconstruction Via Diffusion PurificationCode0
DAD++: Improved Data-free Test Time Adversarial DefenseCode0
Robust Adversarial Defense by Tensor Factorization0
Robustifying Point Cloud Networks by RefocusingCode0
AdvFAS: A robust face anti-spoofing framework against adversarial examplesCode0
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
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
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend0
Releasing Inequality Phenomena in L_-Adversarial Training via Input Gradient Distillation0
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples0
Lyapunov-Stable Deep Equilibrium Models0
Masked Language Model Based Textual Adversarial Example DetectionCode0
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense0
SMUG: Towards robust MRI reconstruction by smoothed unrollingCode0
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey0
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples0
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial DefenseCode0
Language-Driven Anchors for Zero-Shot 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