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 301–325 of 1746 papers

Title	Date	Tasks	Status	Hype
Improving Adversarial Robustness via Decoupled Visual Representation Masking	Jun 16, 2024	Adversarial DefenseAdversarial Robustness	CodeCode Available	0
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences	Jun 14, 2024	Adversarial Robustnessimage-classification	CodeCode Available	0
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis	Jun 14, 2024	Adversarial Robustness	—Unverified	0
Robust Information Retrieval	Jun 13, 2024	Adversarial RobustnessInformation Retrieval	—Unverified	0
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records	Jun 13, 2024	Adversarial RobustnessExplainable Artificial Intelligence (XAI)	CodeCode Available	2
Improving Adversarial Robustness via Feature Pattern Consistency Constraint	Jun 13, 2024	Adversarial Robustnessfeature selection	—Unverified	0
Towards Evaluating the Robustness of Visual State Space Models	Jun 13, 2024	Adversarial Robustnessobject-detection	CodeCode Available	1
On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models	Jun 12, 2024	Adversarial RobustnessMamba	CodeCode Available	1
Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness	Jun 10, 2024	Adversarial RobustnessNeural Architecture Search	—Unverified	0
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks	Jun 9, 2024	Adversarial RobustnessAutonomous Driving	CodeCode Available	1
Large Language Model Assisted Adversarial Robustness Neural Architecture Search	Jun 8, 2024	Adversarial RobustnessCombinatorial Optimization	CodeCode Available	0
Exploring Adversarial Robustness of Deep State Space Models	Jun 8, 2024	Adversarial RobustnessState Space Models	CodeCode Available	1
Improving Alignment and Robustness with Circuit Breakers	Jun 6, 2024	Adversarial Robustness	CodeCode Available	3
Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers	Jun 3, 2024	Adversarial RobustnessObject	CodeCode Available	0
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data	Jun 2, 2024	Adversarial AttackAdversarial Robustness	CodeCode Available	1
Enhancing Adversarial Robustness in SNNs with Sparse Gradients	May 30, 2024	Adversarial Robustness	—Unverified	0
Robust Entropy Search for Safe Efficient Bayesian Optimization	May 29, 2024	Adversarial RobustnessBayesian Optimization	CodeCode Available	0
Confronting the Reproducibility Crisis: A Case Study of Challenges in Cybersecurity AI	May 29, 2024	Adversarial Robustness	—Unverified	0
Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships	May 29, 2024	Adversarial DefenseAdversarial Robustness	—Unverified	0
Towards Unified Robustness Against Both Backdoor and Adversarial Attacks	May 28, 2024	Adversarial DefenseAdversarial Robustness	CodeCode Available	0
White-box Multimodal Jailbreaks Against Large Vision-Language Models	May 28, 2024	Adversarial RobustnessAdversarial Text	CodeCode Available	1
TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability	May 27, 2024	Adversarial RobustnessKnowledge Distillation	—Unverified	0
Spectral regularization for adversarially-robust representation learning	May 27, 2024	Adversarial RobustnessRepresentation Learning	CodeCode Available	0
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective	May 27, 2024	Adversarial Robustness	CodeCode Available	0
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness	May 25, 2024	Adversarial RobustnessData Augmentation	—Unverified	0

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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