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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 1671–1680 of 1808 papers

Title	Date	Tasks	Status	Hype
blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness	Apr 22, 2019	Adversarial Attack	—Unverified	0
Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks	Apr 18, 2019	Adversarial AttackAdversarial Attack Detection	CodeCode Available	0
Defensive Quantization: When Efficiency Meets Robustness	Apr 17, 2019	Adversarial AttackCPU	—Unverified	0
AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples	Apr 16, 2019	Adversarial Attack	—Unverified	0
Cycle-Consistent Adversarial GAN: the integration of adversarial attack and defense	Apr 12, 2019	Adversarial Attackimage-classification	—Unverified	0
Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution	Apr 11, 2019	Adversarial Attack	—Unverified	0
Towards Analyzing Semantic Robustness of Deep Neural Networks	Apr 9, 2019	Adversarial AttackAutonomous Driving	CodeCode Available	0
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack	Apr 3, 2019	Adversarial Attack	CodeCode Available	0
Curls & Whey: Boosting Black-Box Adversarial Attacks	Apr 2, 2019	Adversarial AttackDiversity	CodeCode Available	0
Adversarial Attacks against Deep Saliency Models	Apr 2, 2019	Adversarial Attackobject-detection	—Unverified	0

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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