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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 1291–1300 of 1808 papers

Title	Date	Tasks	Status	Hype
Boosting Adversarial Transferability through Enhanced Momentum	Mar 19, 2021	Adversarial Attack	—Unverified	0
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems	Mar 19, 2021	Adversarial AttackAutomatic Speech Recognition	CodeCode Available	0
KoDF: A Large-scale Korean DeepFake Detection Dataset	Mar 18, 2021	Adversarial AttackDeepFake Detection	—Unverified	0
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection	Mar 17, 2021	Adversarial AttackAutonomous Vehicles	—Unverified	0
Towards Robust Speech-to-Text Adversarial Attack	Mar 15, 2021	Adversarial AttackRoom Impulse Response (RIR)	—Unverified	0
Generating Unrestricted Adversarial Examples via Three Parameters	Mar 13, 2021	Adversarial Attack	—Unverified	0
Internal Wasserstein Distance for Adversarial Attack and Defense	Mar 13, 2021	Adversarial AttackAdversarial Defense	—Unverified	0
Stochastic-HMDs: Adversarial Resilient Hardware Malware Detectors through Voltage Over-scaling	Mar 11, 2021	Adversarial Attack	—Unverified	0
Practical Relative Order Attack in Deep Ranking	Mar 9, 2021	Adversarial AttackTriplet	CodeCode Available	0
Stabilized Medical Image Attacks	Mar 9, 2021	Adversarial AttackMedical Diagnosis	CodeCode Available	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