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 26–50 of 1746 papers

Title	Date	Tasks	Status	Hype
CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP	Mar 5, 2025	Adversarial RobustnessImage-text matching	CodeCode Available	1
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions	Mar 2, 2025	Adversarial RobustnessComputational Efficiency	CodeCode Available	1
Towards Optimal Adversarial Robust Reinforcement Learning with Infinity Measurement Error	Feb 23, 2025	Adversarial RobustnessDeep Reinforcement Learning	CodeCode Available	1
Adversarial Reasoning at Jailbreaking Time	Feb 3, 2025	Adversarial Robustness	CodeCode Available	1
Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language Models	Feb 3, 2025	Adversarial RobustnessImage Captioning	CodeCode Available	1
An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures	Jan 14, 2025	Adversarial Robustness	CodeCode Available	1
Human-in-the-Loop Generation of Adversarial Texts: A Case Study on Tibetan Script	Dec 17, 2024	Adversarial AttackAdversarial Robustness	CodeCode Available	1
Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication	Dec 13, 2024	Adversarial Robustness	CodeCode Available	1
IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models	Dec 2, 2024	Adversarial RobustnessConditional Image Generation	CodeCode Available	1
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models	Oct 29, 2024	Adversarial RobustnessAll	CodeCode Available	1
Towards Physically Realizable Adversarial Attacks in Embodied Vision Navigation	Sep 16, 2024	Adversarial Robustnessobject-detection	CodeCode Available	1
Enhancing adversarial robustness in Natural Language Inference using explanations	Sep 11, 2024	Adversarial RobustnessNatural Language Inference	CodeCode Available	1
Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness	Sep 2, 2024	Adversarial RobustnessNetwork Pruning	CodeCode Available	1
PADetBench: Towards Benchmarking Physical Attacks against Object Detection	Aug 17, 2024	Adversarial RobustnessBenchmarking	CodeCode Available	1
Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?	Aug 16, 2024	Adversarial Robustness	CodeCode Available	1
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness	Aug 16, 2024	Adversarial Robustnessimage-classification	CodeCode Available	1
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases	Aug 14, 2024	Adversarial RobustnessBenchmarking	CodeCode Available	1
Ensemble everything everywhere: Multi-scale aggregation for adversarial robustness	Aug 8, 2024	Adversarial AttackAdversarial Robustness	CodeCode Available	1
Guardians of Image Quality: Benchmarking Defenses Against Adversarial Attacks on Image Quality Metrics	Aug 2, 2024	Adversarial AttackAdversarial Purification	CodeCode Available	1
Adversarial Robustification via Text-to-Image Diffusion Models	Jul 26, 2024	Adversarial Robustnesszero-shot-classification	CodeCode Available	1
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge	Jul 16, 2024	Adversarial RobustnessData Augmentation	CodeCode Available	1
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition	Jul 15, 2024	Adversarial RobustnessInductive Bias	CodeCode Available	1
HO-FMN: Hyperparameter Optimization for Fast Minimum-Norm Attacks	Jul 11, 2024	Adversarial RobustnessHyperparameter Optimization	CodeCode Available	1
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

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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