SOTAVerified

Adversarial Robustness

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

Papers

Showing 9511000 of 1746 papers

TitleStatusHype
Rethinking Classifier and Adversarial Attack0
MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer0
Flooding-X: Improving BERT’s Resistance to Adversarial Attacks via Loss-Restricted Fine-TuningCode1
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples0
Engineering flexible machine learning systems by traversing functionally-invariant pathsCode1
Adversarial Fine-tune with Dynamically Regulated Adversary0
On Fragile Features and Batch Normalization in Adversarial Training0
Testing robustness of predictions of trained classifiers against naturally occurring perturbations0
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning0
Planting Undetectable Backdoors in Machine Learning Models0
Q-TART: Quickly Training for Adversarial Robustness and in-Transferability0
From Environmental Sound Representation to Robustness of 2D CNN Models Against Adversarial Attacks0
A Simple Approach to Adversarial Robustness in Few-shot Image ClassificationCode0
Evaluating the Adversarial Robustness for Fourier Neural Operators0
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse NetworkCode1
Distilling Robust and Non-Robust Features in Adversarial Examples by Information BottleneckCode1
Adversarial Robustness through the Lens of Convolutional FiltersCode0
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning0
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task LearningCode0
Scalable Whitebox Attacks on Tree-based Models0
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization PerspectiveCode1
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical FlowCode1
On the (Non-)Robustness of Two-Layer Neural Networks in Different Learning Regimes0
Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial TrainingCode0
Provable Adversarial Robustness for Fractional Lp Threat ModelsCode0
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness0
On the benefits of knowledge distillation for adversarial robustness0
Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis0
Perception Over Time: Temporal Dynamics for Robust Image Understanding0
Practical Evaluation of Adversarial Robustness via Adaptive Auto AttackCode1
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4Code1
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial PatchesCode1
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis0
Adversarial Robustness of Neural-Statistical Features in Detection of Generative TransformersCode0
Enhancing Adversarial Robustness for Deep Metric LearningCode1
Neuro-Symbolic Verification of Deep Neural NetworksCode0
Global-Local Regularization Via Distributional RobustnessCode0
Evaluating the Adversarial Robustness of Adaptive Test-time DefensesCode1
Adversarial robustness of sparse local Lipschitz predictors0
Understanding Adversarial Robustness from Feature Maps of Convolutional LayersCode0
Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation ScalingCode0
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness0
Transferring Adversarial Robustness Through Robust Representation MatchingCode0
Exploring Adversarially Robust Training for Unsupervised Domain AdaptationCode0
Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition0
Holistic Adversarial Robustness of Deep Learning Models0
Unreasonable Effectiveness of Last Hidden Layer Activations for Adversarial Robustness0
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection0
Finding Dynamics Preserving Adversarial Winning Tickets0
Unlabeled Data Help: Minimax Analysis and Adversarial Robustness0
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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