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Adversarial Attack

An Adversarial Attack is a technique to find a perturbation that changes the prediction of a machine learning model. The perturbation can be very small and imperceptible to human eyes.

Source: Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 831–840 of 1808 papers

Title	Date	Tasks	Status	Hype
Proximal Splitting Adversarial Attacks for Semantic Segmentation	Jun 14, 2022	Adversarial AttackSegmentation	CodeCode Available	1
Adversarial Vulnerability of Randomized Ensembles	Jun 14, 2022	Adversarial AttackAdversarial Robustness	CodeCode Available	1
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective	Jun 14, 2022	Adversarial Attackcounterfactual	—Unverified	0
Darknet Traffic Classification and Adversarial Attacks	Jun 12, 2022	Adversarial AttackBIG-bench Machine Learning	—Unverified	0
AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems	Jun 7, 2022	Adversarial AttackSpeaker Recognition	—Unverified	0
Robust Adversarial Attacks Detection based on Explainable Deep Reinforcement Learning For UAV Guidance and Planning	Jun 6, 2022	Adversarial AttackDecision Making	—Unverified	0
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack	Jun 4, 2022	Adversarial Attack	CodeCode Available	0
Adversarial RAW: Image-Scaling Attack Against Imaging Pipeline	Jun 2, 2022	Adversarial Attack	—Unverified	0
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs	Jun 2, 2022	Adversarial Attack	CodeCode Available	0
NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks	Jun 1, 2022	Adversarial AttackGPU	CodeCode Available	1

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All datasets CIFAR-10 CIFAR-100

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Xu et al.	Attack: PGD20	78.68	—	Unverified
2	3-ensemble of multi-resolution self-ensembles	Attack: AutoAttack	78.13	—	Unverified
3	TRADES-ANCRA/ResNet18	Attack: AutoAttack	59.7	—	Unverified
4	AdvTraining [madry2018]	Attack: PGD20	48.44	—	Unverified
5	TRADES [zhang2019b]	Attack: PGD20	45.9	—	Unverified
6	XU-Net	Robust Accuracy	1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	3-ensemble of multi-resolution self-ensembles	Attack: AutoAttack	51.28	—	Unverified
2	multi-resolution self-ensembles	Attack: AutoAttack	47.85	—	Unverified