SOTAVerified|Agents Browse Leaderboard About

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 1041–1050 of 1808 papers

Title	Date	Tasks	Status	Hype
Adversarial defenses via a mixture of generators	Oct 5, 2021	Adversarial Attack	—Unverified	0
An Improved Genetic Algorithm and Its Application in Neural Network Adversarial Attack	Oct 5, 2021	Adversarial Attack	CodeCode Available	0
Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication	Oct 3, 2021	Adversarial AttackBIG-bench Machine Learning	—Unverified	0
Linear Backpropagation Leads to Faster Convergence	Sep 29, 2021	Adversarial Attack	—Unverified	0
Large-Scale Adversarial Attacks on Graph Neural Networks via Graph Coarsening	Sep 29, 2021	Adversarial Attack	—Unverified	0
-Weighted Federated Adversarial Training	Sep 29, 2021	Adversarial AttackFederated Learning	—Unverified	0
Adversarially Robust Conformal Prediction	Sep 29, 2021	Adversarial AttackConformal Prediction	—Unverified	0
Aug-ILA: More Transferable Intermediate Level Attacks with Augmented References	Sep 29, 2021	Adversarial AttackImage Augmentation	—Unverified	0
Stochastic Variance Reduced Ensemble Adversarial Attack	Sep 29, 2021	Adversarial Attack	—Unverified	0
Pixab-CAM: Attend Pixel, not Channel	Sep 29, 2021	Adversarial Attack	—Unverified	0

Show:10 25 50

← PrevPage 105 of 181Next →

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