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 751–775 of 1746 papers

Title	Date	Tasks	Status
From Sound Representation to Model Robustness	Jul 27, 2020	Adversarial AttackAdversarial Robustness	—Unverified
FullLoRA-AT: Efficiently Boosting the Robustness of Pretrained Vision Transformers	Jan 3, 2024	Adversarial Robustness	—Unverified
Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time	Nov 15, 2024	Adversarial RobustnessClustering	—Unverified
FuncFooler: A Practical Black-box Attack Against Learning-based Binary Code Similarity Detection Methods	Aug 26, 2022	Adversarial RobustnessCode Generation	—Unverified
Functional Network: A Novel Framework for Interpretability of Deep Neural Networks	May 24, 2022	Adversarial RobustnessTopological Data Analysis	—Unverified
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions	Feb 17, 2023	Adversarial RobustnessFairness	—Unverified
Function-Space Regularization for Deep Bayesian Classification	Jul 12, 2023	Adversarial RobustnessClassification	—Unverified
Function-Space Variational Inference for Deep Bayesian Classification	Sep 29, 2021	Adversarial RobustnessClassification	—Unverified
Adversarial Robustness in Parameter-Space Classifiers	Feb 27, 2025	Adversarial Robustness	—Unverified
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons	Feb 6, 2024	Adversarial RobustnessDecision Making	—Unverified
GARNET: A Spectral Approach to Robust and Scalable Graph Neural Networks	Sep 29, 2021	Adversarial RobustnessGraph Embedding	—Unverified
Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models	Apr 19, 2025	Adversarial AttackAdversarial Defense	—Unverified
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification	Dec 28, 2024	Adversarial Robustnesscounterfactual	—Unverified
Accelerating Adversarial Perturbation by 50% with Semi-backward Propagation	Nov 9, 2022	Adversarial Robustness	—Unverified
Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks	May 1, 2020	Adversarial RobustnessGeneral Classification	—Unverified
General Coded Computing: Adversarial Settings	Feb 12, 2025	Adversarial Robustness	—Unverified
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis	Mar 6, 2022	Adversarial RobustnessAnomaly Detection	—Unverified
Hyper Adversarial Tuning for Boosting Adversarial Robustness of Pretrained Large Vision Models	Oct 8, 2024	Adversarial RobustnessTransfer Learning	—Unverified
Empirical Study of the Decision Region and Robustness in Deep Neural Networks	Sep 29, 2021	Adversarial AttackAdversarial Robustness	—Unverified
Emoti-Attack: Zero-Perturbation Adversarial Attacks on NLP Systems via Emoji Sequences	Feb 24, 2025	Adversarial AttackAdversarial Robustness	—Unverified
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness	Oct 21, 2021	Adversarial RobustnessCombinatorial Optimization	—Unverified
Incorporating Hidden Layer representation into Adversarial Attacks and Defences	Nov 28, 2020	Adversarial Robustness	—Unverified
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness	Mar 15, 2022	Adversarial RobustnessData Augmentation	—Unverified
_1 Adversarial Robustness Certificates: a Randomized Smoothing Approach	Sep 25, 2019	Adversarial Robustness	—Unverified
Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains	May 26, 2025	Adversarial RobustnessData Poisoning	—Unverified

Show:10 25 50

← PrevPage 31 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