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 651–675 of 1746 papers

Title	Date	Tasks	Status
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models	Mar 25, 2024	Adversarial DefenseAdversarial Robustness	—Unverified
Towards Adversarial Robustness And Backdoor Mitigation in SSL	Mar 23, 2024	Adversarial RobustnessBackdoor Attack	CodeCode Available
DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation	Mar 20, 2024	Adversarial AttackAdversarial Robustness	CodeCode Available
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM	Mar 18, 2024	Adversarial AttackAdversarial Defense	CodeCode Available
Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising	Mar 18, 2024	Adversarial RobustnessDenoising	—Unverified
Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction	Mar 16, 2024	Adversarial RobustnessImage-text Retrieval	—Unverified
Understanding Robustness of Visual State Space Models for Image Classification	Mar 16, 2024	Adversarial Robustnessimage-classification	CodeCode Available
Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks	Mar 15, 2024	Adversarial AttackAdversarial Robustness	—Unverified
Towards Adversarially Robust Dataset Distillation by Curvature Regularization	Mar 15, 2024	Adversarial RobustnessDataset Distillation	CodeCode Available
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement	Mar 14, 2024	Adversarial RobustnessMemorization	—Unverified
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency	Mar 14, 2024	Adversarial RobustnessModel Compression	CodeCode Available
Robust Subgraph Learning by Monitoring Early Training Representations	Mar 14, 2024	Adversarial RobustnessDecision Making	—Unverified
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning	Mar 11, 2024	Adversarial RobustnessDeep Learning	—Unverified
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume	Mar 8, 2024	Adversarial RobustnessBenchmarking	—Unverified
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense	Feb 29, 2024	Adversarial DefenseAdversarial Robustness	—Unverified
Catastrophic Overfitting: A Potential Blessing in Disguise	Feb 28, 2024	Adversarial Robustness	—Unverified
Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates	Feb 27, 2024	Adversarial Robustnessregression	—Unverified
Extreme Miscalibration and the Illusion of Adversarial Robustness	Feb 27, 2024	Adversarial AttackAdversarial Robustness	—Unverified
A Curious Case of Remarkable Resilience to Gradient Attacks via Fully Convolutional and Differentiable Front End with a Skip Connection	Feb 26, 2024	Adversarial Robustness	—Unverified
An Adversarial Robustness Benchmark for Enterprise Network Intrusion Detection	Feb 25, 2024	Adversarial RobustnessCyber Attack Detection	—Unverified
Spectrum Extraction and Clipping for Implicitly Linear Layers	Feb 25, 2024	Adversarial Robustness	CodeCode Available
A Robust Defense against Adversarial Attacks on Deep Learning-based Malware Detectors via (De)Randomized Smoothing	Feb 23, 2024	Adversarial Robustness	—Unverified
Distilling Adversarial Robustness Using Heterogeneous Teachers	Feb 23, 2024	Adversarial RobustnessKnowledge Distillation	—Unverified
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions	Feb 20, 2024	Adversarial RobustnessEvolutionary Algorithms	—Unverified
Evaluating Adversarial Robustness of Low dose CT Recovery	Feb 18, 2024	Adversarial RobustnessComputed Tomography (CT)	CodeCode Available

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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