SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 403 papers

TitleStatusHype
Adversarial Defense Teacher for Cross-Domain Object Detection under Poor Visibility Conditions—0
ADAPT to Robustify Prompt Tuning Vision TransformersCode0
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSMCode0
Adversarial Infrared Geometry: Using Geometry to Perform Adversarial Attack against Infrared Pedestrian Detectors—0
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense—0
Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks—0
MGE: A Training-Free and Efficient Model Generation and Enhancement Scheme—0
Rethinking Invariance Regularization in Adversarial Training to Improve Robustness-Accuracy Trade-off—0
A Simple and Yet Fairly Effective Defense for Graph Neural NetworksCode0
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness—0
Fast Adversarial Training against Textual Adversarial Attacks—0
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles—0
Adversarial Infrared Curves: An Attack on Infrared Pedestrian Detectors in the Physical World—0
Continual Adversarial DefenseCode0
Detection and Defense of Unlearnable ExamplesCode0
Robust MRI Reconstruction by Smoothed Unrolling (SMUG)Code0
Defense Against Adversarial Attacks using Convolutional Auto-EncodersCode0
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model—0
Learn from the Past: A Proxy Guided Adversarial Defense Framework with Self Distillation RegularizationCode0
Provably Cost-Sensitive Adversarial Defense via Randomized SmoothingCode0
Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion CriteriaCode0
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 Defense—0
Robust Physics-based Deep MRI Reconstruction Via Diffusion PurificationCode0
DAD++: Improved Data-free Test Time Adversarial DefenseCode0
Robust Adversarial Defense by Tensor Factorization—0
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 training—0
Revisiting and Advancing Adversarial Training Through A Simple Baseline—0
Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method—0
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 Approach—0
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial RobustnessCode0
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend—0
Releasing Inequality Phenomena in L_-Adversarial Training via Input Gradient Distillation—0
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples—0
Lyapunov-Stable Deep Equilibrium Models—0
Masked Language Model Based Textual Adversarial Example DetectionCode0
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense—0
SMUG: Towards robust MRI reconstruction by smoothed unrollingCode0
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey—0
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples—0
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial DefenseCode0
Language-Driven Anchors for Zero-Shot Adversarial RobustnessCode0
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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