SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Showing 51100 of 403 papers

TitleStatusHype
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based RetrievalCode1
Adversarial Training for Free!Code1
Boundary thickness and robustness in learning modelsCode1
Targeted Adversarial Perturbations for Monocular Depth PredictionCode1
Fast Certified Robust Training with Short WarmupCode1
Smooth Adversarial TrainingCode1
DISCO: Adversarial Defense with Local Implicit FunctionsCode1
Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social NetworksCode1
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural NetworksCode1
Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified _p AttacksCode1
Improving Adversarial Robustness via Mutual Information EstimationCode1
RAILS: A Robust Adversarial Immune-inspired Learning SystemCode1
Perceptual Adversarial Robustness: Defense Against Unseen Threat ModelsCode1
CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision ModelsCode1
Enhancing Adversarial Robustness via Score-Based OptimizationCode1
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation ModelsCode1
Geometric Adversarial Attacks and Defenses on 3D Point CloudsCode1
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial DefenseCode1
GUARD: Graph Universal Adversarial DefenseCode1
Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning MethodCode1
Adversarial Attack and Defense of YOLO Detectors in Autonomous Driving ScenariosCode1
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) frameworkCode1
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial RobustnessCode1
Toward Adversarial Robustness via Semi-supervised Robust TrainingCode1
LPF-Defense: 3D Adversarial Defense based on Frequency AnalysisCode1
Multitask Learning Strengthens Adversarial RobustnessCode1
A Knowledge-guided Adversarial Defense for Resisting Malicious Visual Manipulation0
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense0
EdgeAgentX: A Novel Framework for Agentic AI at the Edge in Military Communication Networks0
Adversarial defense for deep speaker recognition using hybrid adversarial training0
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment0
Efficient Key-Based Adversarial Defense for ImageNet by Using Pre-trained Model0
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning0
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation0
AdvSmo: Black-box Adversarial Attack by Smoothing Linear Structure of Texture0
Adversarial defense for automatic speaker verification by cascaded self-supervised learning models0
AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization0
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness0
Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework0
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling0
Demotivate adversarial defense in remote sensing0
Defensive Dual Masking for Robust Adversarial Defense0
Defensive Tensorization: Randomized Tensor Parametrization for Robust Neural Networks0
Adversarial Robustness through Local Linearization0
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack0
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix0
Defense Against Adversarial Attacks with Saak Transform0
Bypassing DARCY Defense: Indistinguishable Universal Adversarial Triggers0
Adversarial Defense by Latent Style Transformations0
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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