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 851–875 of 1746 papers

Title	Date	Tasks	Status
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering	Sep 17, 2020	Adversarial RobustnessQuestion Answering	—Unverified
On the (Un-)Avoidability of Adversarial Examples	Jun 24, 2021	Adversarial RobustnessData Augmentation	—Unverified
On the unreasonable vulnerability of transformers for image restoration -- and an easy fix	Jul 25, 2023	Adversarial AttackAdversarial Robustness	—Unverified
On the Vulnerability of Applying Retrieval-Augmented Generation within Knowledge-Intensive Application Domains	Sep 12, 2024	Adversarial RobustnessRAG	—Unverified
On the Zero-shot Adversarial Robustness of Vision-Language Models: A Truly Zero-shot and Training-free Approach	Jan 1, 2025	Adversarial RobustnessZero-shot Generalization	—Unverified
Opportunities and Challenges in Deep Learning Adversarial Robustness: A Survey	Jul 1, 2020	Adversarial RobustnessBIG-bench Machine Learning	—Unverified
Optimal Statistical Guaratees for Adversarially Robust Gaussian Classification	Jan 1, 2020	Adversarial RobustnessClassification	—Unverified
Optimising Neural Network Architectures for Provable Adversarial Robustness	Jan 1, 2020	Adversarial Robustness	—Unverified
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness	Oct 19, 2020	Adversarial RobustnessDeep Learning	—Unverified
Optimization and Optimizers for Adversarial Robustness	Mar 23, 2023	Adversarial Robustness	—Unverified
Optimized Potential Initialization for Low-latency Spiking Neural Networks	Feb 3, 2022	Adversarial Robustness	—Unverified
Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach	Feb 5, 2025	Adversarial RobustnessMixture-of-Experts	—Unverified
Bridging Optimal Transport and Jacobian Regularization by Optimal Trajectory for Enhanced Adversarial Defense	Mar 21, 2023	Adversarial AttackAdversarial Defense	—Unverified
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey	Apr 8, 2024	Adversarial RobustnessAnomaly Detection	—Unverified
Output Perturbation for Differentially Private Convex Optimization: Faster and More General	Feb 9, 2021	Adversarial RobustnessFairness	—Unverified
Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis	Jun 14, 2024	Adversarial Robustness	—Unverified
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization	Oct 9, 2023	Adversarial RobustnessGeneralization Bounds	—Unverified
PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks	Apr 30, 2024	Adversarial Robustness	—Unverified
Parameterizing Activation Functions for Adversarial Robustness	Oct 11, 2021	Adversarial Robustness	—Unverified
Pareto Adversarial Robustness: Balancing Spatial Robustness and Sensitivity-based Robustness	Nov 3, 2021	Adversarial RobustnessSensitivity	—Unverified
Partially Recentralization Softmax Loss for Vision-Language Models Robustness	Feb 6, 2024	Adversarial RobustnessDiversity	—Unverified
P-CapsNets: a General Form of Convolutional Neural Networks	Dec 18, 2019	Adversarial RobustnessForm	—Unverified
Perception Over Time: Temporal Dynamics for Robust Image Understanding	Mar 11, 2022	Adversarial Robustness	—Unverified
Perceptual Adversarial Robustness: Generalizable Defenses Against Unforeseen Threat Models	Jan 1, 2021	Adversarial DefenseAdversarial Robustness	—Unverified
Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems	Jul 12, 2021	Adversarial RobustnessAutomatic Speech Recognition	—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