Adversarial Robustness

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 701–725 of 1746 papers

Title	Date	Tasks	Status
Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning	Dec 27, 2024	Adversarial RobustnessContrastive Learning	—Unverified
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks	Jul 14, 2020	Adversarial Robustness	—Unverified
Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees	Feb 3, 2025	Adversarial Robustness	—Unverified
Enhancing Adversarial Robustness in SNNs with Sparse Gradients	May 30, 2024	Adversarial Robustness	—Unverified
Adversarial Examples Are a Natural Consequence of Test Error in Noise	Jan 29, 2019	Adversarial Robustness	—Unverified
Faithful Knowledge Distillation	Jun 7, 2023	Adversarial RobustnessKnowledge Distillation	—Unverified
CE-based white-box adversarial attacks will not work using super-fitting	May 4, 2022	Adversarial AttackAdversarial Robustness	—Unverified
Adversarial Information Bottleneck	Feb 28, 2021	Adversarial Robustness	—Unverified
Fast Adversarial Training against Textual Adversarial Attacks	Jan 23, 2024	Adversarial DefenseAdversarial Robustness	—Unverified
Adversarial Robustness of Program Synthesis Models	Oct 8, 2021	Adversarial RobustnessProgram Synthesis	—Unverified
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter	Jul 29, 2024	Action RecognitionAdversarial Robustness	—Unverified
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection	Jun 2, 2022	Adversarial RobustnessImage Segmentation	—Unverified
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending against Poisoning Attacks	Dec 11, 2024	Adversarial RobustnessClassification	—Unverified
Guess First to Enable Better Compression and Adversarial Robustness	Jan 10, 2020	Adversarial Robustness	—Unverified
Adversarial Robustness in Parameter-Space Classifiers	Feb 27, 2025	Adversarial Robustness	—Unverified
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons	Feb 6, 2024	Adversarial RobustnessDecision Making	—Unverified
Fault Tolerance of Neural Networks in Adversarial Settings	Oct 30, 2019	Adversarial RobustnessFairness	—Unverified
Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks	Oct 14, 2024	Adversarial RobustnessBinary Classification	—Unverified
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness	Aug 13, 2020	Adversarial RobustnessDenoising	—Unverified
Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks	Mar 15, 2024	Adversarial AttackAdversarial Robustness	—Unverified
GNN-Ensemble: Towards Random Decision Graph Neural Networks	Mar 20, 2023	Adversarial RobustnessDecision Making	—Unverified
Feature Losses for Adversarial Robustness	Dec 10, 2019	Adversarial RobustnessDenoising	—Unverified
Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness	Oct 4, 2018	Adversarial RobustnessDenoising	—Unverified
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification	Dec 28, 2024	Adversarial Robustnesscounterfactual	—Unverified
Global Adversarial Robustness Guarantees for Neural Networks	Sep 25, 2019	Adversarial Robustness	—Unverified

Show:10 25 50

← PrevPage 29 of 70Next →

All datasets AdvGLUE CIFAR-10 ImageNet ImageNet-A ImageNet-C Stylized ImageNet CIFAR-100

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DeBERTa (single model)	Accuracy	0.61	—	Unverified
2	ALBERT (single model)	Accuracy	0.59	—	Unverified
3	T5 (single model)	Accuracy	0.57	—	Unverified
4	SMART_RoBERTa (single model)	Accuracy	0.54	—	Unverified
5	FreeLB (single model)	Accuracy	0.5	—	Unverified
6	RoBERTa (single model)	Accuracy	0.5	—	Unverified
7	InfoBERT (single model)	Accuracy	0.46	—	Unverified
8	ELECTRA (single model)	Accuracy	0.42	—	Unverified
9	BERT (single model)	Accuracy	0.34	—	Unverified
10	SMART_BERT (single model)	Accuracy	0.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Mixed classifier	Accuracy	95.23	—	Unverified
2	Stochastic-LWTA/PGD/WideResNet-34-10	Accuracy	92.26	—	Unverified
3	Stochastic-LWTA/PGD/WideResNet-34-5	Accuracy	91.88	—	Unverified
4	GLOT-DR	Accuracy	84.13	—	Unverified
5	TRADES-ANCRA/ResNet18	Accuracy	81.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet-50 (SGD, Cosine)	Accuracy	77.4	—	Unverified
2	ResNet-50 (SGD, Step)	Accuracy	76.9	—	Unverified
3	DeiT-S (AdamW, Cosine)	Accuracy	76.8	—	Unverified
4	ResNet-50 (AdamW, Cosine)	Accuracy	76.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeiT-S (AdamW, Cosine)	Accuracy	12.2	—	Unverified
2	ResNet-50 (SGD, Cosine)	Accuracy	3.3	—	Unverified
3	ResNet-50 (SGD, Step)	Accuracy	3.2	—	Unverified
4	ResNet-50 (AdamW, Cosine)	Accuracy	3.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet-50 (AdamW, Cosine)	mean Corruption Error (mCE)	59.3	—	Unverified
2	ResNet-50 (SGD, Step)	mean Corruption Error (mCE)	57.9	—	Unverified
3	ResNet-50 (SGD, Cosine)	mean Corruption Error (mCE)	56.9	—	Unverified
4	DeiT-S (AdamW, Cosine)	mean Corruption Error (mCE)	48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DeiT-S (AdamW, Cosine)	Accuracy	13	—	Unverified
2	ResNet-50 (SGD, Cosine)	Accuracy	8.4	—	Unverified
3	ResNet-50 (SGD, Step)	Accuracy	8.3	—	Unverified
4	ResNet-50 (AdamW, Cosine)	Accuracy	8.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Mixed Classifier	Clean Accuracy	85.21	—	Unverified
2	ResNet18/MART-ANCRA	Clean Accuracy	60.1	—	Unverified