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 876–900 of 1746 papers

Title	Date	Tasks	Status
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation	Sep 2, 2020	Adversarial RobustnessSuper-Resolution	—Unverified
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation	Aug 7, 2024	Adversarial RobustnessImage Segmentation	—Unverified
Perlin Noise Improve Adversarial Robustness	Dec 26, 2021	Adversarial Robustness	—Unverified
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off	Dec 16, 2023	Adversarial RobustnessInformation Retrieval	—Unverified
Perturbation Type Categorization for Multiple _p Bounded Adversarial Robustness	Jan 1, 2021	Adversarial RobustnessVocal Bursts Type Prediction	—Unverified
Phase-shifted Adversarial Training	Jan 12, 2023	Adversarial Robustness	—Unverified
Physical-layer Adversarial Robustness for Deep Learning-based Semantic Communications	May 12, 2023	Adversarial RobustnessDeep Learning	—Unverified
Visually Adversarial Attacks and Defenses in the Physical World: A Survey	Nov 3, 2022	Adversarial RobustnessSurvey	—Unverified
Planting Undetectable Backdoors in Machine Learning Models	Apr 14, 2022	Adversarial RobustnessBIG-bench Machine Learning	—Unverified
Playing it Safe: Adversarial Robustness with an Abstain Option	Nov 25, 2019	Adversarial Robustness	—Unverified
Poisoning Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks	Dec 9, 2023	Adversarial Robustness	—Unverified
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation	Jan 26, 2023	Adversarial RobustnessMuJoCo	—Unverified
Policy Smoothing for Provably Robust Reinforcement Learning	Jun 21, 2021	Adversarial Robustnessimage-classification	—Unverified
Power up! Robust Graph Convolutional Network based on Graph Powering	Sep 25, 2019	Adversarial Robustness	—Unverified
Practical Convex Formulation of Robust One-hidden-layer Neural Network Training	May 25, 2021	Adversarial RobustnessBinary Classification	—Unverified
Pre-trained Model Guided Mixture Knowledge Distillation for Adversarial Federated Learning	Jan 25, 2025	Adversarial RobustnessFederated Learning	—Unverified
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers	Mar 21, 2025	Adversarial RobustnessFairness	—Unverified
PRISON: Unmasking the Criminal Potential of Large Language Models	Jun 19, 2025	Adversarial Robustness	—Unverified
Probabilistic Robustness in Deep Learning: A Concise yet Comprehensive Guide	Feb 20, 2025	Adversarial RobustnessBenchmarking	—Unverified
Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach	Aug 24, 2024	Adversarial AttackAdversarial Robustness	—Unverified
Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches	Oct 11, 2023	Adversarial Robustness	—Unverified
Proper Measure for Adversarial Robustness	Sep 28, 2020	Adversarial Robustness	—Unverified
Prototypical Examples in Deep Learning: Metrics, Characteristics, and Utility	May 1, 2019	Adversarial RobustnessDeep Learning	—Unverified
Pro-tuning: Unified Prompt Tuning for Vision Tasks	Jul 28, 2022	Adversarial Robustnessimage-classification	—Unverified
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More	Dec 5, 2023	Adversarial RobustnessMolecular Property Prediction	—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