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Adversarial Defense

Competitions with currently unpublished results:

Papers

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Showing 101–150 of 403 papers

TitleStatusHype
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness—0
Towards a constructive framework for control theory—0
Sample Correlation for Fingerprinting Deep Face RecognitionCode0
Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Images—0
Defensive Dual Masking for Robust Adversarial Defense—0
A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles—0
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling—0
Sustainable Self-evolution Adversarial Training—0
Neural Fingerprints for Adversarial Attack DetectionCode0
Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIsCode0
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost—0
Perseus: Leveraging Common Data Patterns with Curriculum Learning for More Robust Graph Neural Networks—0
Unitary Multi-Margin BERT for Robust Natural Language ProcessingCode0
The Good, the Bad and the Ugly: Watermarks, Transferable Attacks and Adversarial Defenses—0
Secure Video Quality Assessment Resisting Adversarial Attacks—0
Interpretability-Guided Test-Time Adversarial DefenseCode0
Cloud Adversarial Example Generation for Remote Sensing Image Classification—0
Bypassing DARCY Defense: Indistinguishable Universal Adversarial Triggers—0
Certified Causal Defense with Generalizable Robustness—0
TART: Boosting Clean Accuracy Through Tangent Direction Guided Adversarial Training—0
Improving Out-of-Distribution Data Handling and Corruption Resistance via Modern Hopfield NetworksCode0
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks—0
Privacy-preserving Universal Adversarial Defense for Black-box Models—0
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack—0
Deep Adversarial Defense Against Multilevel-Lp Attacks—0
Shedding More Light on Robust Classifiers under the lens of Energy-based ModelsCode0
L_p-norm Distortion-Efficient Adversarial Attack—0
DiffuseDef: Improved Robustness to Adversarial Attacks via Iterative DenoisingCode0
Deciphering the Definition of Adversarial Robustness for post-hoc OOD DetectorsCode0
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning—0
MaskPure: Improving Defense Against Text Adversaries with Stochastic PurificationCode0
Improving Adversarial Robustness via Decoupled Visual Representation MaskingCode0
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models—0
Adversarial Evasion Attack Efficiency against Large Language Models—0
Talos: A More Effective and Efficient Adversarial Defense for GNN Models Based on the Global Homophily of Graphs—0
Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships—0
Towards Unified Robustness Against Both Backdoor and Adversarial AttacksCode0
Robust width: A lightweight and certifiable adversarial defenseCode0
Large Language Model Sentinel: LLM Agent for Adversarial Purification—0
Adaptive Batch Normalization Networks for Adversarial Robustness—0
The Pitfalls and Promise of Conformal Inference Under Adversarial AttacksCode0
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment—0
Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal PerspectiveCode0
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation—0
Struggle with Adversarial Defense? Try Diffusion—0
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks—0
Adversarial Attacks and Dimensionality in Text Classifiers—0
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay—0
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models—0
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals—0
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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