SOTAVerified

Adversarial Robustness

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

Papers

Showing 17011746 of 1746 papers

TitleStatusHype
CEB Improves Model RobustnessCode0
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial RobustnessCode0
Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 DetectionCode0
Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language ModelsCode0
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural NetworksCode0
Robustness properties of Facebook's ResNeXt WSL modelsCode0
Adversarial Robustness Guarantees for Classification with Gaussian ProcessesCode0
Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial TrainingCode0
Robustness Tokens: Towards Adversarial Robustness of TransformersCode0
Robustness via curvature regularization, and vice versaCode0
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSMCode0
Robust Perception through EquivarianceCode0
TREND: Transferability based Robust ENsemble DesignCode0
CausAdv: A Causal-based Framework for Detecting Adversarial ExamplesCode0
On the Adversarial Robustness of Causal Algorithmic RecourseCode0
Towards Adversarial Robustness And Backdoor Mitigation in SSLCode0
Language-Driven Anchors for Zero-Shot Adversarial RobustnessCode0
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEsCode0
Adversarial Robustness for Visual Grounding of Multimodal Large Language ModelsCode0
Adversarial Robustness Certification for Bayesian Neural NetworksCode0
Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion CriteriaCode0
CAT:Collaborative Adversarial TrainingCode0
Analyzing and Improving the Robustness of Tabular Classifiers using Counterfactual ExplanationsCode0
Learning Energy-Based Models With Adversarial TrainingCode0
TSCheater: Generating High-Quality Tibetan Adversarial Texts via Visual SimilarityCode0
Adversarial Feature DesensitizationCode0
Towards Adversarially Robust Dataset Distillation by Curvature RegularizationCode0
Two Heads are Better than One: Robust Learning Meets Multi-branch ModelsCode0
On the Connection Between Adversarial Robustness and Saliency Map InterpretabilityCode0
CARTL: Cooperative Adversarially-Robust Transfer LearningCode0
Using Wavelets and Spectral Methods to Study Patterns in Image-Classification DatasetsCode0
Using Z3 for Formal Modeling and Verification of FNN Global RobustnessCode0
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule NetworksCode0
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view InconsistencyCode0
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial AttacksCode0
Towards Adversarial Patch Analysis and Certified Defense against Crowd CountingCode0
ROSE: Robust Selective Fine-tuning for Pre-trained Language ModelsCode0
On the Sensitivity and Stability of Model Interpretations in NLPCode0
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing CodingCode0
On the human-recognizability phenomenon of adversarially trained deep image classifiersCode0
On the Importance of Backbone to the Adversarial Robustness of Object DetectorsCode0
Exploring Adversarial Robustness of Vision Transformers in the Spectral PerspectiveCode0
On the Interplay of Convolutional Padding and Adversarial RobustnessCode0
On the Limitations of Stochastic Pre-processing DefensesCode0
Two Tales of Single-Phase Contrastive Hebbian LearningCode0
Adversarial Robustness by Design through Analog Computing and Synthetic GradientsCode0
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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