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 301–325 of 1746 papers

Title	Date	Tasks	Status	Hype	Score
Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?	Dec 2, 2021	Adversarial Attack DetectionAdversarial Robustness	CodeCode Available	1	5
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4	Mar 8, 2022	Adversarial Robustness	CodeCode Available	1	5
Few-Shot Adversarial Prompt Learning on Vision-Language Models	Mar 21, 2024	Adversarial RobustnessAdversarial Text	CodeCode Available	1	5
LyaNet: A Lyapunov Framework for Training Neural ODEs	Feb 5, 2022	Adversarial Robustness	CodeCode Available	1	5
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning	Nov 8, 2021	Adversarial RobustnessBenchmarking	CodeCode Available	1	5
CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision Models	Jun 9, 2022	Adversarial DefenseAdversarial Robustness	CodeCode Available	1	5
A Self-supervised Approach for Adversarial Robustness	Jun 8, 2020	Adversarial RobustnessGeneral Classification	CodeCode Available	1	5
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning	Jul 14, 2023	Adversarial Robustnessparameter estimation	CodeCode Available	1	5
Cauchy-Schwarz Divergence Information Bottleneck for Regression	Apr 27, 2024	Adversarial RobustnessInformation Plane	CodeCode Available	1	5
CBA: Contextual Background Attack against Optical Aerial Detection in the Physical World	Feb 27, 2023	Adversarial Robustness	CodeCode Available	1	5
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies	Apr 14, 2024	Adversarial Robustness	CodeCode Available	1	5
Certified Training: Small Boxes are All You Need	Oct 10, 2022	Adversarial RobustnessAll	CodeCode Available	1	5
(Certified!!) Adversarial Robustness for Free!	Jun 21, 2022	Adversarial RobustnessDenoising	CodeCode Available	1	5
Certified Adversarial Robustness via Randomized Smoothing	Feb 8, 2019	Adversarial DefenseAdversarial Robustness	CodeCode Available	1	5
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?	Apr 19, 2021	Adversarial RobustnessImage Classification	CodeCode Available	1	5
Neural Networks with Recurrent Generative Feedback	Jul 17, 2020	Adversarial Robustness	CodeCode Available	1	5
NIC-RobustBench: A Comprehensive Open-Source Toolkit for Neural Image Compression and Robustness Analysis	Jun 23, 2025	Adversarial RobustnessImage Compression	CodeCode Available	1	5
OET: Optimization-based prompt injection Evaluation Toolkit	May 1, 2025	Adversarial RobustnessNatural Language Understanding	CodeCode Available	1	5
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning	Feb 20, 2021	Adversarial AttackAdversarial Robustness	CodeCode Available	1	5
Composite Adversarial Attacks	Dec 10, 2020	Adversarial AttackAdversarial Robustness	CodeCode Available	1	5
On the Adversarial Robustness of Vision Transformers	Mar 29, 2021	Adversarial Robustness	CodeCode Available	1	5
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum	Jun 21, 2022	Adversarial RobustnessDeep Reinforcement Learning	CodeCode Available	1	5
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks	Oct 10, 2023	Adversarial Robustness	CodeCode Available	1	5
On the Adversarial Robustness of Camera-based 3D Object Detection	Jan 25, 2023	3D Object DetectionAdversarial Attack	CodeCode Available	1	5
An Adversarial Robustness Perspective on the Topology of Neural Networks	Nov 4, 2022	Adversarial Robustness	CodeCode Available	0	5

Show:10 25 50

← PrevPage 13 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