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 1076–1100 of 1746 papers

Title	Date	Tasks	Status
Towards Adversarially Robust Vision-Language Models: Insights from Design Choices and Prompt Formatting Techniques	Jul 15, 2024	Adversarial Robustness	—Unverified
Towards Adversarial Realism and Robust Learning for IoT Intrusion Detection and Classification	Jan 30, 2023	Adversarial RobustnessBinary Classification	—Unverified
Towards Adversarial Robustness of Deep Vision Algorithms	Nov 19, 2022	Adversarial Robustnessimage-classification	—Unverified
Towards Adversarial Robustness via Transductive Learning	Jun 15, 2021	Adversarial RobustnessBilevel Optimization	—Unverified
Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment	Aug 12, 2024	Adversarial Robustness	—Unverified
Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness	May 15, 2020	Adversarial Robustness	—Unverified
Towards Assurance of LLM Adversarial Robustness using Ontology-Driven Argumentation	Oct 10, 2024	Adversarial RobustnessCode Translation	—Unverified
Towards Assuring EU AI Act Compliance and Adversarial Robustness of LLMs	Oct 4, 2024	Adversarial Robustness	—Unverified
Towards A Unified Min-Max Framework for Adversarial Exploration and Robustness	Sep 25, 2019	Adversarial AttackAdversarial Robustness	—Unverified
Towards Certifiable Adversarial Sample Detection	Feb 20, 2020	Adversarial Robustness	—Unverified
Towards Compact and Robust Deep Neural Networks	Jun 14, 2019	Adversarial RobustnessNetwork Pruning	—Unverified
Towards Defending against Adversarial Examples via Attack-Invariant Features	Jun 9, 2021	Adversarial Robustness	—Unverified
Towards Disentangling Non-Robust and Robust Components in Performance Metric	Sep 25, 2019	Adversarial RobustnessRelation	—Unverified
Towards Efficient Formal Verification of Spiking Neural Network	Aug 20, 2024	Adversarial Robustness	—Unverified
An Empirical Evaluation of Adversarial Robustness under Transfer Learning	May 7, 2019	Adversarial RobustnessTransfer Learning	—Unverified
Enhancing Accuracy and Robustness of Steering Angle Prediction with Attention Mechanism	Nov 21, 2022	Adversarial RobustnessAutonomous Driving	—Unverified
Toward Spiking Neural Network Local Learning Modules Resistant to Adversarial Attacks	Apr 11, 2025	Adversarial AttackAdversarial Robustness	—Unverified
Towards Proving the Adversarial Robustness of Deep Neural Networks	Sep 8, 2017	Adversarial RobustnessAutonomous Vehicles	—Unverified
Towards quantum enhanced adversarial robustness in machine learning	Jun 22, 2023	Adversarial RobustnessComputational Efficiency	—Unverified
Towards Resilient and Efficient LLMs: A Comparative Study of Efficiency, Performance, and Adversarial Robustness	Aug 8, 2024	Adversarial Robustness	—Unverified
Towards Robust and Accurate Stability Estimation of Local Surrogate Models in Text-based Explainable AI	Jan 3, 2025	Adversarial Robustness	—Unverified
Towards Robust and Accurate Visual Prompting	Nov 18, 2023	Adversarial RobustnessTransfer Learning	—Unverified
Towards Robust Deep Neural Networks	Oct 27, 2018	Adversarial RobustnessComputational chemistry	—Unverified
Towards Robust Graph Contrastive Learning	Feb 25, 2021	Adversarial RobustnessContrastive Learning	—Unverified
Towards Robust Image Classification Using Sequential Attention Models	Dec 4, 2019	Adversarial RobustnessClassification	—Unverified

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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