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 376–400 of 1746 papers

Title	Date	Tasks	Status
Adversarial Test on Learnable Image Encryption	Jul 31, 2019	Adversarial RobustnessPrivacy Preserving	—Unverified
Adversarial Robustness with Semi-Infinite Constrained Learning	Oct 29, 2021	Adversarial Robustness	—Unverified
Adversarially Robust Streaming Algorithms via Differential Privacy	Apr 13, 2020	Adversarial Robustness	—Unverified
Defense-PointNet: Protecting PointNet Against Adversarial Attacks	Feb 27, 2020	Adversarial Robustness	—Unverified
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach	Dec 1, 2021	Adversarial Robustness	—Unverified
Adversarially Robust Spiking Neural Networks with Sparse Connectivity	May 16, 2025	Adversarial Robustness	—Unverified
Label Augmentation for Neural Networks Robustness	Aug 4, 2024	Adversarial RobustnessData Augmentation	—Unverified
Adversarial Robustness: What fools you makes you stronger	Feb 10, 2021	Adversarial RobustnessPAC learning	—Unverified
Advancing Adversarial Training by Injecting Booster Signal	Jun 27, 2023	Adversarial Robustness	—Unverified
Achieving Adversarial Robustness via Sparsity	Sep 11, 2020	Adversarial RobustnessNetwork Pruning	—Unverified
Defense Through Diverse Directions	Mar 24, 2020	Adversarial Robustness	—Unverified
Adversarial robustness via stochastic regularization of neural activation sensitivity	Sep 23, 2020	Adversarial RobustnessSensitivity	—Unverified
Adversarial Robustness via Runtime Masking and Cleansing	Jan 1, 2020	Adversarial Robustness	—Unverified
Adversarial Robustness of Link Sign Prediction in Signed Graphs	Jan 19, 2024	Adversarial RobustnessContrastive Learning	—Unverified
Advancing Adversarial Robustness Through Adversarial Logit Update	Aug 29, 2023	Adversarial PurificationAdversarial Robustness	—Unverified
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding	Dec 16, 2024	Adversarial RobustnessBrain Computer Interface	—Unverified
Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems	Jan 23, 2025	Adversarial RobustnessAndroid Malware Detection	—Unverified
Adversarially Robust Neural Networks via Optimal Control: Bridging Robustness with Lyapunov Stability	Jan 1, 2020	Adversarial Robustness	—Unverified
Adversarial Robustness via Label-Smoothing	Jun 27, 2019	Adversarial Robustness	—Unverified
Adversary Agnostic Robust Deep Reinforcement Learning	Aug 14, 2020	Adversarial RobustnessAtari Games	—Unverified
Adversarial Robustness via Adaptive Label Smoothing	Sep 29, 2021	Adversarial Robustness	—Unverified
Adversarially Robust Neural Architectures	Sep 2, 2020	Adversarial AttackAdversarial Robustness	—Unverified
Achieving Adversarial Robustness Requires An Active Teacher	Dec 14, 2020	Adversarial Robustness	—Unverified
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks	Oct 2, 2017	Adversarial RobustnessClustering	—Unverified
Defending Against Adversarial Examples by Regularized Deep Embedding	Sep 25, 2019	Adversarial AttackAdversarial Robustness	—Unverified

Show:10 25 50

← PrevPage 16 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