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 551–575 of 1746 papers

Title	Date	Tasks	Status
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information	Aug 12, 2024	Adversarial PurificationAdversarial Robustness	—Unverified
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment	Aug 12, 2024	Adversarial Robustness	—Unverified
Adversarially Robust Industrial Anomaly Detection Through Diffusion Model	Aug 9, 2024	Adversarial PurificationAdversarial Robustness	—Unverified
Towards Resilient and Efficient LLMs: A Comparative Study of Efficiency, Performance, and Adversarial Robustness	Aug 8, 2024	Adversarial Robustness	—Unverified
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation	Aug 7, 2024	Adversarial RobustnessImage Segmentation	—Unverified
Label Augmentation for Neural Networks Robustness	Aug 4, 2024	Adversarial RobustnessData Augmentation	—Unverified
A Survey and Evaluation of Adversarial Attacks for Object Detection	Aug 4, 2024	Adversarial RobustnessAutonomous Vehicles	—Unverified
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning	Jul 30, 2024	Adversarial RobustnessComputational Efficiency	—Unverified
Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks	Jul 30, 2024	Adversarial AttackAdversarial Robustness	—Unverified
Adversarial Robustness in RGB-Skeleton Action Recognition: Leveraging Attention Modality Reweighter	Jul 29, 2024	Action RecognitionAdversarial Robustness	—Unverified
RSC-SNN: Exploring the Trade-off Between Adversarial Robustness and Accuracy in Spiking Neural Networks via Randomized Smoothing Coding	Jul 29, 2024	Adversarial Robustness	CodeCode Available
Exploring the Adversarial Robustness of CLIP for AI-generated Image Detection	Jul 28, 2024	Adversarial Robustness	—Unverified
Scaling Trends in Language Model Robustness	Jul 25, 2024	Adversarial RobustnessLanguage Modeling	CodeCode Available
Adversarially Robust Decision Transformer	Jul 25, 2024	Adversarial RobustnessSequential Decision Making	CodeCode Available
Towards Robust Vision Transformer via Masked Adaptive Ensemble	Jul 22, 2024	Adversarial Robustness	—Unverified
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking	Jul 18, 2024	Adversarial AttackAdversarial Robustness	—Unverified
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks	Jul 17, 2024	Adversarial RobustnessBenchmarking	CodeCode Available
Variational Randomized Smoothing for Sample-Wise Adversarial Robustness	Jul 16, 2024	Adversarial Robustness	—Unverified
Relaxing Graph Transformers for Adversarial Attacks	Jul 16, 2024	Adversarial RobustnessGraph Classification	—Unverified
Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques	Jul 15, 2024	Adversarial Robustness	—Unverified
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off	Jul 12, 2024	Adversarial Robustnessimage-classification	CodeCode Available
Deep Adversarial Defense Against Multilevel-Lp Attacks	Jul 12, 2024	Adversarial DefenseAdversarial Robustness	—Unverified
How to beat a Bayesian adversary	Jul 11, 2024	Adversarial Robustness	—Unverified
Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation	Jul 11, 2024	Adversarial RobustnessFairness	CodeCode Available
TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer Trackers	Jul 4, 2024	Adversarial AttackAdversarial Robustness	CodeCode Available

Show:10 25 50

← PrevPage 23 of 70Next →

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