SOTAVerified

Adversarial Robustness

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

Papers

Showing 151200 of 1746 papers

TitleStatusHype
Adversarial Visual Robustness by Causal InterventionCode1
Certified Training: Small Boxes are All You NeedCode1
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature SelectionCode1
Adversarial Vulnerability of Randomized EnsemblesCode1
Adversarial Robustness Limits via Scaling-Law and Human-Alignment StudiesCode1
Adversarial Vertex Mixup: Toward Better Adversarially Robust GeneralizationCode1
Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented CommunicationCode1
Consistency Regularization for Adversarial RobustnessCode1
Adversarial Robustness of Deep Convolutional Candlestick LearnerCode1
On the Adversarial Robustness of Vision TransformersCode1
A Light Recipe to Train Robust Vision TransformersCode1
Decoupled Kullback-Leibler Divergence LossCode1
AdvRush: Searching for Adversarially Robust Neural ArchitecturesCode1
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable RegressionCode1
Demystify Transformers & Convolutions in Modern Image Deep NetworksCode1
DF-RAP: A Robust Adversarial Perturbation for Defending against Deepfakes in Real-world Social Network ScenariosCode1
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust ExplorationCode1
Efficient Exact Verification of Binarized Neural NetworksCode1
Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models Via Diffusion ModelsCode1
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified RobustnessCode1
Enhancing Adversarial Robustness for Deep Metric LearningCode1
Enhancing adversarial robustness in Natural Language Inference using explanationsCode1
Enhancing Adversarial Robustness via Test-time Transformation EnsemblingCode1
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language ModelsCode1
Explainability-Aware One Point Attack for Point Cloud Neural NetworksCode1
Adversarial Robustness of Representation Learning for Knowledge GraphsCode1
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality MetricsCode1
Adversarial Robustness as a Prior for Learned RepresentationsCode1
Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic GradientsCode1
Feature Separation and Recalibration for Adversarial RobustnessCode1
Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated LearningCode1
Adversarially-Aware Robust Object DetectorCode1
Adversarial Attacks on Graph Classifiers via Bayesian OptimisationCode1
FlowPure: Continuous Normalizing Flows for Adversarial PurificationCode1
Adversarial Robustness on In- and Out-Distribution Improves ExplainabilityCode1
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural NetworksCode1
Generalized Real-World Super-Resolution through Adversarial RobustnessCode1
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine LearningCode1
Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-offCode1
Adversarial Robustness Against the Union of Multiple Threat ModelsCode1
An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN ArchitecturesCode1
How Robust is Google's Bard to Adversarial Image Attacks?Code1
CausalAdv: Adversarial Robustness through the Lens of CausalityCode1
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language UnderstandingCode1
Adversarial Robustness via Random Projection FiltersCode1
Adversarial Robustness under Long-Tailed DistributionCode1
HybridAugment++: Unified Frequency Spectra Perturbations for Model RobustnessCode1
Improve robustness of DNN for ECG signal classification:a noise-to-signal ratio perspectiveCode1
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical FlowCode1
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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