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 226–250 of 1746 papers

Title	Date	Tasks	Status	Hype
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation	Sep 19, 2024	Adversarial Robustness	—Unverified	0
Enhancing 3D Robotic Vision Robustness by Minimizing Adversarial Mutual Information through a Curriculum Training Approach	Sep 19, 2024	Adversarial Robustnessobject-detection	CodeCode Available	0
Towards Physically Realizable Adversarial Attacks in Embodied Vision Navigation	Sep 16, 2024	Adversarial Robustnessobject-detection	CodeCode Available	1
Training Safe Neural Networks with Global SDP Bounds	Sep 15, 2024	Adversarial Robustness	—Unverified	0
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains	Sep 12, 2024	Adversarial RobustnessRAG	—Unverified	0
FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning	Sep 12, 2024	Adversarial RobustnessFederated Learning	—Unverified	0
Enhancing adversarial robustness in Natural Language Inference using explanations	Sep 11, 2024	Adversarial RobustnessNatural Language Inference	CodeCode Available	1
A Cost-Aware Approach to Adversarial Robustness in Neural Networks	Sep 11, 2024	Adversarial RobustnessGPU	—Unverified	0
Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness of Underwater Image Enhancement Models	Sep 10, 2024	Adversarial AttackAdversarial Robustness	—Unverified	0
Adversarial Attacks on Data Attribution	Sep 9, 2024	Adversarial AttackAdversarial Robustness	CodeCode Available	0
A practical approach to evaluating the adversarial distance for machine learning classifiers	Sep 5, 2024	Adversarial AttackAdversarial Robustness	CodeCode Available	0
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG	Sep 5, 2024	Adversarial RobustnessEEG	—Unverified	0
Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble	Sep 4, 2024	Adversarial RobustnessTime Series	—Unverified	0
Reassessing Noise Augmentation Methods in the Context of Adversarial Speech	Sep 3, 2024	Adversarial RobustnessAutomatic Speech Recognition	—Unverified	0
Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness	Sep 2, 2024	Adversarial RobustnessNetwork Pruning	CodeCode Available	1
Lyapunov Neural ODE State-Feedback Control Policies	Aug 31, 2024	Adversarial RobustnessDecision Making	—Unverified	0
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models	Aug 31, 2024	Adversarial RobustnessComputational Efficiency	CodeCode Available	0
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations	Aug 27, 2024	Adversarial RobustnessAndroid Malware Detection	CodeCode Available	0
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective	Aug 25, 2024	Adversarial Robustnessimage-classification	—Unverified	0
Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach	Aug 24, 2024	Adversarial AttackAdversarial Robustness	—Unverified	0
Towards Efficient Formal Verification of Spiking Neural Network	Aug 20, 2024	Adversarial Robustness	—Unverified	0
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving	Aug 19, 2024	Adversarial RobustnessAutonomous Driving	CodeCode Available	0
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency	Aug 19, 2024	Adversarial Robustness	—Unverified	0
PADetBench: Towards Benchmarking Physical Attacks against Object Detection	Aug 17, 2024	Adversarial RobustnessBenchmarking	CodeCode Available	1
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness	Aug 16, 2024	Adversarial Robustnessimage-classification	CodeCode Available	1

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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