SOTAVerified

Adversarial Robustness

Adversarial Robustness evaluates the vulnerabilities of machine learning models under various types of adversarial attacks.

Papers

Showing 13511400 of 1746 papers

TitleStatusHype
Gated Information Bottleneck for Generalization in Sequential EnvironmentsCode0
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary TasksCode0
GenAttack: Practical Black-box Attacks with Gradient-Free OptimizationCode0
Variational ClassificationCode0
Bridging the Theoretical Gap in Randomized SmoothingCode0
Adversarially Robust Decision TransformerCode0
Bridging the Performance Gap between FGSM and PGD Adversarial TrainingCode0
Bridging the Gap Between Adversarial Robustness and Optimization BiasCode0
Role of Spatial Context in Adversarial Robustness for Object DetectionCode0
PDPGD: Primal-Dual Proximal Gradient Descent Adversarial AttackCode0
Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix ApproachCode0
Evaluating the Robustness of Geometry-Aware Instance-Reweighted Adversarial TrainingCode0
advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorchCode0
Towards Deep Learning Models Resistant to Large PerturbationsCode0
Evaluating the Robustness of Adversarial Defenses in Malware Detection SystemsCode0
Generating Adversarial Examples with Adversarial NetworksCode0
Generating Adversarial Samples in Mini-Batches May Be Detrimental To Adversarial RobustnessCode0
Bridging Adversarial Robustness and Gradient InterpretabilityCode0
Generative Max-Mahalanobis Classifiers for Image Classification, Generation and MoreCode0
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?Code0
Shift Invariance Can Reduce Adversarial RobustnessCode0
Verifying And Interpreting Neural Networks using Finite AutomataCode0
Get Fooled for the Right Reason: Improving Adversarial Robustness through a Teacher-guided Curriculum Learning ApproachCode0
Sibylvariant Transformations for Robust Text ClassificationCode0
Give me a hint: Can LLMs take a hint to solve math problems?Code0
Adversaries With Incentives: A Strategic Alternative to Adversarial RobustnessCode0
Global-Local Regularization Via Distributional RobustnessCode0
Sign-OPT: A Query-Efficient Hard-label Adversarial AttackCode0
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature AttacksCode0
Adversarial Training and Robustness for Multiple PerturbationsCode0
Gradient-Free Adversarial Attacks for Bayesian Neural NetworksCode0
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays OffCode0
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative ModelsCode0
Adversarial Robustness with Non-uniform PerturbationsCode0
Adversarial Neural Pruning with Latent Vulnerability SuppressionCode0
Boosting Adversarial Training via Fisher-Rao Norm-based RegularizationCode0
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task LearningCode0
Adversarial Robustness vs. Model Compression, or Both?Code0
Hardening DNNs against Transfer Attacks during Network Compression using Greedy Adversarial PruningCode0
PointACL:Adversarial Contrastive Learning for Robust Point Clouds Representation under Adversarial AttackCode0
Adversarial Examples for Evaluating Math Word Problem SolversCode0
Evaluating and Safeguarding the Adversarial Robustness of Retrieval-Based In-Context LearningCode0
Adversarial robustness via robust low rank representationsCode0
Smoothed Embeddings for Certified Few-Shot LearningCode0
Semialgebraic Optimization for Lipschitz Constants of ReLU NetworksCode0
Hierarchical Distribution-Aware Testing of Deep LearningCode0
Power up! Robust Graph Convolutional Network via Graph PoweringCode0
Evaluating Membership Inference Through Adversarial RobustnessCode0
Evaluating Adversarial Robustness of Low dose CT RecoveryCode0
Understanding Robustness of Visual State Space Models for Image ClassificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeBERTa (single model)Accuracy0.61Unverified
2ALBERT (single model)Accuracy0.59Unverified
3T5 (single model)Accuracy0.57Unverified
4SMART_RoBERTa (single model)Accuracy0.54Unverified
5FreeLB (single model)Accuracy0.5Unverified
6RoBERTa (single model)Accuracy0.5Unverified
7InfoBERT (single model)Accuracy0.46Unverified
8ELECTRA (single model)Accuracy0.42Unverified
9BERT (single model)Accuracy0.34Unverified
10SMART_BERT (single model)Accuracy0.3Unverified
#ModelMetricClaimedVerifiedStatus
1Mixed classifierAccuracy95.23Unverified
2Stochastic-LWTA/PGD/WideResNet-34-10Accuracy92.26Unverified
3Stochastic-LWTA/PGD/WideResNet-34-5Accuracy91.88Unverified
4GLOT-DRAccuracy84.13Unverified
5TRADES-ANCRA/ResNet18Accuracy81.7Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-50 (SGD, Cosine)Accuracy77.4Unverified
2ResNet-50 (SGD, Step)Accuracy76.9Unverified
3DeiT-S (AdamW, Cosine)Accuracy76.8Unverified
4ResNet-50 (AdamW, Cosine)Accuracy76.4Unverified
#ModelMetricClaimedVerifiedStatus
1DeiT-S (AdamW, Cosine)Accuracy12.2Unverified
2ResNet-50 (SGD, Cosine)Accuracy3.3Unverified
3ResNet-50 (SGD, Step)Accuracy3.2Unverified
4ResNet-50 (AdamW, Cosine)Accuracy3.1Unverified
#ModelMetricClaimedVerifiedStatus
1ResNet-50 (AdamW, Cosine)mean Corruption Error (mCE)59.3Unverified
2ResNet-50 (SGD, Step)mean Corruption Error (mCE)57.9Unverified
3ResNet-50 (SGD, Cosine)mean Corruption Error (mCE)56.9Unverified
4DeiT-S (AdamW, Cosine)mean Corruption Error (mCE)48Unverified
#ModelMetricClaimedVerifiedStatus
1DeiT-S (AdamW, Cosine)Accuracy13Unverified
2ResNet-50 (SGD, Cosine)Accuracy8.4Unverified
3ResNet-50 (SGD, Step)Accuracy8.3Unverified
4ResNet-50 (AdamW, Cosine)Accuracy8.1Unverified
#ModelMetricClaimedVerifiedStatus
1Mixed ClassifierClean Accuracy85.21Unverified
2ResNet18/MART-ANCRAClean Accuracy60.1Unverified