SOTAVerified

Adversarial Defense

Competitions with currently unpublished results:

Papers

Showing 51100 of 403 papers

TitleStatusHype
Certified Adversarial Robustness via Randomized SmoothingCode1
Adversarial Training for Free!Code1
Boundary thickness and robustness in learning modelsCode1
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven OptimizationCode1
Stereopagnosia: Fooling Stereo Networks with Adversarial PerturbationsCode1
Smooth Adversarial TrainingCode1
Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models Via Diffusion ModelsCode1
Enhancing Adversarial Robustness via Score-Based OptimizationCode1
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial DefenseCode1
Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified _p AttacksCode1
Geometric Adversarial Attacks and Defenses on 3D Point CloudsCode1
Layer-wise Regularized Adversarial Training using Layers Sustainability Analysis (LSA) frameworkCode1
Perturbation Inactivation Based Adversarial Defense for Face RecognitionCode1
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial DefenseCode1
CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision ModelsCode1
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation ModelsCode1
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based RetrievalCode1
GUARD: Graph Universal Adversarial DefenseCode1
Guided Adversarial Attack for Evaluating and Enhancing Adversarial DefensesCode1
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
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial RobustnessCode1
Learnable Boundary Guided Adversarial TrainingCode1
A Person Re-identification Data Augmentation Method with Adversarial Defense EffectCode1
Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational InferenceCode1
On Evaluating Adversarial RobustnessCode1
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-IdentificationCode0
Adversarial Defense of Image Classification Using a Variational Auto-EncoderCode0
Error Correcting Output Codes Improve Probability Estimation and Adversarial Robustness of Deep Neural NetworksCode0
A Game-Based Approximate Verification of Deep Neural Networks with Provable GuaranteesCode0
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural NetworkCode0
Exploring Adversarially Robust Training for Unsupervised Domain AdaptationCode0
A Few Large Shifts: Layer-Inconsistency Based Minimal Overhead Adversarial Example DetectionCode0
A Closer Look at the Adversarial Robustness of Deep Equilibrium ModelsCode0
AdvFAS: A robust face anti-spoofing framework against adversarial examplesCode0
Efficient Formal Safety Analysis of Neural NetworksCode0
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust AccuraciesCode0
Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution NetworkCode0
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorchCode0
Adversarial Defense by Suppressing High-frequency ComponentsCode0
ADAPT to Robustify Prompt Tuning Vision TransformersCode0
Adversarial Robustness via Fisher-Rao RegularizationCode0
Adversarial Defense by Stratified Convolutional Sparse CodingCode0
Adversarial Defense by Restricting the Hidden Space of Deep Neural NetworksCode0
CAAD 2018: Generating Transferable Adversarial ExamplesCode0
Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated GradientsCode0
Robust Physics-based Deep MRI Reconstruction Via Diffusion PurificationCode0
Adversarial-Playground: A Visualization Suite Showing How Adversarial Examples Fool Deep LearningCode0
Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix ApproachCode0
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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