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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 1021–1030 of 1808 papers

Title	Date	Tasks	Status	Hype
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
On the reversibility of adversarial attacks	Jun 1, 2022	Adversarial Attack	—Unverified	0
On the Perils of Cascading Robust Classifiers	Jun 1, 2022	Adversarial Attack	CodeCode Available	0
Attack-Agnostic Adversarial Detection	Jun 1, 2022	Adversarial AttackAdversarial Attack Detection	—Unverified	0
Semantic Autoencoder and Its Potential Usage for Adversarial Attack	May 31, 2022	Adversarial Attack	—Unverified	0
Exposing Fine-Grained Adversarial Vulnerability of Face Anti-Spoofing Models	May 30, 2022	Adversarial AttackAdversarial Robustness	—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