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
DF-RAP: A Robust Adversarial Perturbation for Defending against Deepfakes in Real-world Social Network ScenariosCode1
Distance Learner: Incorporating Manifold Prior to Model TrainingCode1
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized NetworksCode1
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust ExplorationCode1
Adversarial Robustness Limits via Scaling-Law and Human-Alignment StudiesCode1
Efficient Generation of Targeted and Transferable Adversarial Examples for Vision-Language Models Via Diffusion ModelsCode1
Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented CommunicationCode1
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
Adversarial Robustness of Deep Convolutional Candlestick LearnerCode1
On the Adversarial Robustness of Vision TransformersCode1
CFA: Class-wise Calibrated Fair Adversarial TrainingCode1
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression TasksCode1
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical FlowCode1
ExCon: Explanation-driven Supervised Contrastive Learning for Image ClassificationCode1
A Pilot Study of Query-Free Adversarial Attack against Stable DiffusionCode1
Explainability-Aware One Point Attack for Point Cloud Neural NetworksCode1
Adversarial Robustness via Random Projection FiltersCode1
Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic GradientsCode1
A Regularization Method to Improve Adversarial Robustness of Neural Networks for ECG Signal ClassificationCode1
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified RobustnessCode1
Are Transformers More Robust Than CNNs?Code1
FedNest: Federated Bilevel, Minimax, and Compositional OptimizationCode1
Are socially-aware trajectory prediction models really socially-aware?Code1
Fixing Data Augmentation to Improve Adversarial RobustnessCode1
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language ModelsCode1
A Self-supervised Approach for Adversarial RobustnessCode1
Adversarial Robustness as a Prior for Learned RepresentationsCode1
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality MetricsCode1
Generating Adversarial Computer Programs using Optimized ObfuscationsCode1
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine LearningCode1
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm AttacksCode1
Hold me tight! Influence of discriminative features on deep network boundariesCode1
Adversarially-Aware Robust Object DetectorCode1
An Orthogonal Classifier for Improving the Adversarial Robustness of Neural NetworksCode1
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMsCode1
Adversarial Robustness on In- and Out-Distribution Improves ExplainabilityCode1
Adversarial Attacks on Graph Classifiers via Bayesian OptimisationCode1
Adversarial Robustness Against the Union of Multiple Threat ModelsCode1
A Unified Game-Theoretic Interpretation of Adversarial RobustnessCode1
A Unified Framework for Adversarial Attack and Defense in Constrained Feature SpaceCode1
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric LearningCode1
Benchmarking Adversarial Robustness on Image ClassificationCode1
Cauchy-Schwarz Divergence Information Bottleneck for RegressionCode1
CausalAdv: Adversarial Robustness through the Lens of CausalityCode1
Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuningCode1
Bag of Tricks for Adversarial TrainingCode1
Adversarial Robustness under Long-Tailed DistributionCode1
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial ExamplesCode1
Bispectral Neural NetworksCode1
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature SelectionCode1
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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