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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 1531–1540 of 1808 papers

Title	Date	Tasks	Status	Hype
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient	Jan 1, 2020	Adversarial Attack	—Unverified	0
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability	Jan 1, 2020	Adversarial AttackAdversarial Robustness	—Unverified	0
Benchmarking Adversarial Robustness	Dec 26, 2019	Adversarial AttackAdversarial Robustness	—Unverified	0
Geometry-Aware Generation of Adversarial Point Clouds	Dec 24, 2019	Adversarial AttackFairness	CodeCode Available	0
DAmageNet: A Universal Adversarial Dataset	Dec 16, 2019	Adversarial Attack	CodeCode Available	0
On-manifold Adversarial Data Augmentation Improves Uncertainty Calibration	Dec 16, 2019	Adversarial AttackData Augmentation	—Unverified	0
CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator	Dec 16, 2019	Adversarial Attack	—Unverified	0
Potential adversarial samples for white-box attacks	Dec 13, 2019	Adversarial Attack	—Unverified	0
Amora: Black-box Adversarial Morphing Attack	Dec 9, 2019	Adversarial AttackDictionary Learning	—Unverified	0
Region-Wise Attack: On Efficient Generation of Robust Physical Adversarial Examples	Dec 5, 2019	Adversarial Attack	—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