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 76–100 of 1746 papers

Title	Date	Tasks	Status	Hype
Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent	Mar 25, 2025	Adversarial Robustness	—Unverified	0
Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification	Mar 24, 2025	Adversarial RobustnessAuthorship Verification	—Unverified	0
When is dataset cartography ineffective? Using training dynamics does not improve robustness against Adversarial SQuAD	Mar 24, 2025	Adversarial RobustnessExtractive Question-Answering	—Unverified	0
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers	Mar 21, 2025	Adversarial RobustnessFairness	—Unverified	0
Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability	Mar 21, 2025	Adversarial RobustnessBayesian Optimization	—Unverified	0
Narrowing Class-Wise Robustness Gaps in Adversarial Training	Mar 20, 2025	Adversarial RobustnessClass-Specific Performance	—Unverified	0
On the Robustness Tradeoff in Fine-Tuning	Mar 19, 2025	Adversarial Robustness	—Unverified	0
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models	Mar 19, 2025	Adversarial RobustnessAutonomous Driving	—Unverified	0
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory	Mar 18, 2025	Adversarial RobustnessBinary Classification	—Unverified	0
Survey of Adversarial Robustness in Multimodal Large Language Models	Mar 18, 2025	Adversarial RobustnessSurvey	—Unverified	0
Evolution-based Region Adversarial Prompt Learning for Robustness Enhancement in Vision-Language Models	Mar 17, 2025	Adversarial RobustnessPrompt Learning	CodeCode Available	0
Robust Dataset Distillation by Matching Adversarial Trajectories	Mar 15, 2025	Adversarial RobustnessDataset Distillation	—Unverified	0
Robustness Tokens: Towards Adversarial Robustness of Transformers	Mar 13, 2025	Adversarial Robustness	CodeCode Available	0
Quantitative Analysis of Deeply Quantized Tiny Neural Networks Robust to Adversarial Attacks	Mar 12, 2025	Adversarial RobustnessQuantization	—Unverified	0
FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation Methods	Mar 11, 2025	Adversarial RobustnessFace Detection	CodeCode Available	0
Life-Cycle Routing Vulnerabilities of LLM Router	Mar 9, 2025	Adversarial Robustness	—Unverified	0
MMARD: Improving the Min-Max Optimization Process in Adversarial Robustness Distillation	Mar 9, 2025	Adversarial Robustness	—Unverified	0
Long-tailed Adversarial Training with Self-Distillation	Mar 9, 2025	Adversarial Robustness	—Unverified	0
Exploring Adversarial Transferability between Kolmogorov-arnold Networks	Mar 8, 2025	Adversarial RobustnessKolmogorov-Arnold Networks	—Unverified	0
Adversarial Robustness of Discriminative Self-Supervised Learning in Vision	Mar 8, 2025	Adversarial RobustnessLinear evaluation	—Unverified	0
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
Transformer Meets Twicing: Harnessing Unattended Residual Information	Mar 2, 2025	Adversarial Robustnessimage-classification	CodeCode Available	0
Adversarial Robustness in Parameter-Space Classifiers	Feb 27, 2025	Adversarial Robustness	—Unverified	0
Evaluation of Hate Speech Detection Using Large Language Models and Geographical Contextualization	Feb 26, 2025	Adversarial RobustnessBinary Classification	CodeCode Available	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