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 1626–1650 of 1746 papers

Title	Date	Tasks	Status
Exploiting Explainability to Design Adversarial Attacks and Evaluate Attack Resilience in Hate-Speech Detection Models	May 29, 2023	Adversarial RobustnessDecision Making	—Unverified
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection	May 15, 2022	Adversarial Robustness	—Unverified
Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring	Feb 13, 2024	Adversarial RobustnessDecision Making	—Unverified
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Adversarial Robustness	Jun 18, 2021	Adversarial Robustness	—Unverified
Smoothness Analysis of Adversarial Training	Mar 2, 2021	Adversarial Robustness	—Unverified
SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization	Dec 8, 2021	Adversarial AttackAdversarial Robustness	—Unverified
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement	Mar 14, 2024	Adversarial RobustnessMemorization	—Unverified
Beyond Pruning Criteria: The Dominant Role of Fine-Tuning and Adaptive Ratios in Neural Network Robustness	Oct 19, 2024	Adversarial RobustnessSensitivity	—Unverified
Exploring adversarial robustness of JPEG AI: methodology, comparison and new methods	Nov 18, 2024	Adversarial RobustnessImage Compression	—Unverified
Exploring Adversarial Robustness of LiDAR-Camera Fusion Model in Autonomous Driving	Dec 3, 2023	3D Object DetectionAdversarial Robustness	—Unverified
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving	Jan 17, 2021	Adversarial RobustnessDenoising	—Unverified
Exploring Adversarial Transferability between Kolmogorov-arnold Networks	Mar 8, 2025	Adversarial RobustnessKolmogorov-Arnold Networks	—Unverified
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness	Mar 29, 2023	Adversarial Robustnessimage-classification	—Unverified
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking	Jul 18, 2024	Adversarial AttackAdversarial Robustness	—Unverified
Exploring Biologically Inspired Mechanisms of Adversarial Robustness	Feb 5, 2024	Adversarial Robustness	—Unverified
Exploring Layerwise Adversarial Robustness Through the Lens of t-SNE	Jun 20, 2024	Adversarial Robustness	—Unverified
Exploring Robust Features for Improving Adversarial Robustness	Sep 9, 2023	Adversarial RobustnessDisentanglement	—Unverified
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks	Apr 28, 2020	Adversarial Robustness	—Unverified
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume	Mar 8, 2024	Adversarial RobustnessBenchmarking	—Unverified
Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection	Jul 28, 2024	Adversarial Robustness	—Unverified
Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks	Dec 8, 2019	Adversarial Robustness	—Unverified
Exploring the Hyperparameter Landscape of Adversarial Robustness	May 9, 2019	Adversarial RobustnessHyperparameter Optimization	—Unverified
Exploring the Physical World Adversarial Robustness of Vehicle Detection	Aug 7, 2023	Adversarial AttackAdversarial Robustness	—Unverified
Exploring the Sharpened Cosine Similarity	Jul 25, 2023	Adversarial Robustnessimage-classification	—Unverified
Exponential Separation between Two Learning Models and Adversarial Robustness	Dec 1, 2021	Adversarial RobustnessPAC 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