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 1226–1250 of 1746 papers

Title	Date	Tasks	Status
Guided Interpolation for Adversarial Training	Feb 15, 2021	Adversarial Robustness	—Unverified
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness	Jun 17, 2024	Adversarial Robustness	—Unverified
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning	Apr 5, 2022	Adversarial AttackAdversarial Robustness	—Unverified
Heterogeneous Architecture Search Approach within Adversarial Dynamic Defense Framework	Nov 22, 2021	Adversarial AttackAdversarial Robustness	—Unverified
Hierarchical Binding in Convolutional Neural Networks Confers Adversarial Robustness	Jan 1, 2021	Adversarial Robustness	—Unverified
Hierarchical Contextual Manifold Alignment for Structuring Latent Representations in Large Language Models	Feb 6, 2025	Adversarial RobustnessComputational Efficiency	—Unverified
Hierarchical Verification for Adversarial Robustness	Jul 23, 2020	Adversarial Robustness	—Unverified
Holistic Adversarially Robust Pruning	Dec 19, 2024	Adversarial Robustness	—Unverified
Holistic Adversarial Robustness of Deep Learning Models	Feb 15, 2022	Adversarial RobustnessDeep Learning	—Unverified
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning	Jul 24, 2023	Adversarial RobustnessContrastive Learning	—Unverified
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks	Aug 7, 2022	Adversarial RobustnessRobust classification	—Unverified
How and When Adversarial Robustness Transfers in Knowledge Distillation?	Oct 22, 2021	Adversarial RobustnessKnowledge Distillation	—Unverified
How benign is benign overfitting?	Jul 8, 2020	Adversarial RobustnessRepresentation Learning	—Unverified
How Benign is Benign Overfitting ?	Jan 1, 2021	Adversarial RobustnessRepresentation Learning	—Unverified
How Do Diffusion Models Improve Adversarial Robustness?	May 28, 2025	Adversarial PurificationAdversarial Robustness	—Unverified
How do SGD hyperparameters in natural training affect adversarial robustness?	Jun 20, 2020	Adversarial Robustness	—Unverified
Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection	Nov 8, 2022	Adversarial RobustnessRecommendation Systems	—Unverified
How Robust are Randomized Smoothing based Defenses to Data Poisoning?	Dec 2, 2020	Adversarial RobustnessBilevel Optimization	—Unverified
How to beat a Bayesian adversary	Jul 11, 2024	Adversarial Robustness	—Unverified
How to Enhance Downstream Adversarial Robustness (almost) without Touching the Pre-Trained Foundation Model?	Apr 15, 2025	Adversarial RobustnessContrastive Learning	—Unverified
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding	Nov 1, 2021	Adversarial RobustnessAll	—Unverified
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis	Mar 6, 2022	Adversarial RobustnessAnomaly Detection	—Unverified
Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models	Apr 19, 2025	Adversarial AttackAdversarial Defense	—Unverified
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models	Oct 8, 2024	Adversarial RobustnessTransfer Learning	—Unverified
Hyperbolic Contrastive Learning	Feb 2, 2023	Adversarial RobustnessContrastive Learning	—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