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 1276–1300 of 1746 papers

Title	Date	Tasks	Status
Towards Robust Deep Neural Networks	Oct 27, 2018	Adversarial RobustnessComputational chemistry	—Unverified
Query complexity of adversarial attacks	Oct 2, 2020	Adversarial Robustness	—Unverified
Towards Robust Graph Contrastive Learning	Feb 25, 2021	Adversarial RobustnessContrastive Learning	—Unverified
Adversarial Robustness of Flow-Based Generative Models	Nov 20, 2019	Adversarial Robustness	—Unverified
Adversarial Robustness of Distilled and Pruned Deep Learning-based Wireless Classifiers	Apr 11, 2024	Adversarial RobustnessKnowledge Distillation	—Unverified
Raising the Bar for Certified Adversarial Robustness with Diffusion Models	May 17, 2023	Adversarial Robustness	—Unverified
Towards Robust Image Classification Using Sequential Attention Models	Dec 4, 2019	Adversarial RobustnessClassification	—Unverified
Random Entangled Tokens for Adversarially Robust Vision Transformer	Jan 1, 2024	Adversarial Robustness	—Unverified
Who's Afraid of Thomas Bayes?	Jul 30, 2021	Adversarial Robustness	—Unverified
Towards Robustness of Deep Neural Networks via Regularization	Jan 1, 2021	Adversarial AttackAdversarial Robustness	—Unverified
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators	Feb 27, 2023	Adversarial Robustness	—Unverified
Random Projections for Improved Adversarial Robustness	Feb 18, 2021	Adversarial RobustnessDimensionality Reduction	—Unverified
Adversarial Robustness of Discriminative Self-Supervised Learning in Vision	Mar 8, 2025	Adversarial RobustnessLinear evaluation	—Unverified
Rapid Response: Mitigating LLM Jailbreaks with a Few Examples	Nov 12, 2024	Adversarial Robustness	—Unverified
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems	Dec 2, 2021	Adversarial Robustnesscounterfactual	—Unverified
RBFormer: Improve Adversarial Robustness of Transformer by Robust Bias	Sep 23, 2023	Adversarial Robustness	—Unverified
With Great Backbones Comes Great Adversarial Transferability	Jan 21, 2025	Adversarial RobustnessSelf-Supervised Learning	—Unverified
Achieving More Human Brain-Like Vision via Human EEG Representational Alignment	Jan 30, 2024	Adversarial RobustnessEEG	—Unverified
Reassessing Noise Augmentation Methods in the Context of Adversarial Speech	Sep 3, 2024	Adversarial RobustnessAutomatic Speech Recognition	—Unverified
RECAST: Interactive Auditing of Automatic Toxicity Detection Models	Jan 7, 2020	Adversarial RobustnessFairness	—Unverified
Recent Advances in Adversarial Training for Adversarial Robustness	Feb 2, 2021	Adversarial Robustness	—Unverified
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks	Nov 3, 2020	Adversarial Robustness	—Unverified
Adversarial Robustness of Deep Sensor Fusion Models	Jun 23, 2020	2D Object DetectionAdversarial Robustness	—Unverified
Recommender Systems for Democracy: Toward Adversarial Robustness in Voting Advice Applications	May 19, 2025	Adversarial RobustnessRecommendation Systems	—Unverified
Rectifying Adversarial Sample with Low Entropy Prior for Test-Time Defense	Jul 4, 2025	Adversarial Robustness	—Unverified

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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